Module: Numo::GSL::Cdf

Defined in:
ext/numo/gsl/cdf/gsl_cdf.c

Class Method Summary collapse

Class Method Details

.beta_P(x, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the beta distribution with parameters a and b.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2479

static VALUE
cdf_s_beta_P(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_beta_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.beta_Pinv(P, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the beta distribution with parameters a and b.

Parameters:

  • P (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2583

static VALUE
cdf_s_beta_Pinv(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_beta_Pinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.beta_Q(x, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the beta distribution with parameters a and b.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2531

static VALUE
cdf_s_beta_Q(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_beta_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.beta_Qinv(Q, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the beta distribution with parameters a and b.

Parameters:

  • Q (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2635

static VALUE
cdf_s_beta_Qinv(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_beta_Qinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.binomial_P(k, p, n) ⇒ DFloat

These functions compute the cumulative distribution functions P(k), Q(k) for the binomial distribution with parameters p and n.

Parameters:

  • k (UInt)
  • p (Integer) —

    parameter

  • n (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 3805

static VALUE
cdf_s_binomial_P(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cUI,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_binomial_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    char *opt;
    opt = ALLOCA_N(char,sizeof(double)+sizeof(unsigned int));

    *(double*)opt = NUM2DBL(v1);
    *(unsigned int*)(opt+sizeof(double)) = NUM2UINT(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.binomial_Q(k, p, n) ⇒ DFloat

These functions compute the cumulative distribution functions P(k), Q(k) for the binomial distribution with parameters p and n.

Parameters:

  • k (UInt)
  • p (Integer) —

    parameter

  • n (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 3860

static VALUE
cdf_s_binomial_Q(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cUI,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_binomial_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    char *opt;
    opt = ALLOCA_N(char,sizeof(double)+sizeof(unsigned int));

    *(double*)opt = NUM2DBL(v1);
    *(unsigned int*)(opt+sizeof(double)) = NUM2UINT(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.cauchy_P(x, a) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Cauchy distribution with scale parameter a.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 891

static VALUE
cdf_s_cauchy_P(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_cauchy_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.cauchy_Pinv(P, a) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Cauchy distribution with scale parameter a.

Parameters:

  • P (DFloat)
  • a (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 985

static VALUE
cdf_s_cauchy_Pinv(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_cauchy_Pinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.cauchy_Q(x, a) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Cauchy distribution with scale parameter a.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 938

static VALUE
cdf_s_cauchy_Q(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_cauchy_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.cauchy_Qinv(Q, a) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Cauchy distribution with scale parameter a.

Parameters:

  • Q (DFloat)
  • a (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1032

static VALUE
cdf_s_cauchy_Qinv(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_cauchy_Qinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.chisq_P(x, nu) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the chi-squared distribution with nu degrees of freedom.

Parameters:

  • x (DFloat)
  • nu (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1891

static VALUE
cdf_s_chisq_P(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_chisq_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.chisq_Pinv(P, nu) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the chi-squared distribution with nu degrees of freedom.

Parameters:

  • P (DFloat)
  • nu (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1985

static VALUE
cdf_s_chisq_Pinv(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_chisq_Pinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.chisq_Q(x, nu) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the chi-squared distribution with nu degrees of freedom.

Parameters:

  • x (DFloat)
  • nu (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1938

static VALUE
cdf_s_chisq_Q(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_chisq_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.chisq_Qinv(Q, nu) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the chi-squared distribution with nu degrees of freedom.

Parameters:

  • Q (DFloat)
  • nu (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2032

static VALUE
cdf_s_chisq_Qinv(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_chisq_Qinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.exponential_P(x, mu) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the exponential distribution with mean mu.

Parameters:

  • x (DFloat)
  • mu (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 411

static VALUE
cdf_s_exponential_P(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_exponential_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.exponential_Pinv(P, mu) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the exponential distribution with mean mu.

Parameters:

  • P (DFloat)
  • mu (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 505

static VALUE
cdf_s_exponential_Pinv(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_exponential_Pinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.exponential_Q(x, mu) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the exponential distribution with mean mu.

Parameters:

  • x (DFloat)
  • mu (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 458

static VALUE
cdf_s_exponential_Q(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_exponential_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.exponential_Qinv(Q, mu) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the exponential distribution with mean mu.

Parameters:

  • Q (DFloat)
  • mu (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 552

static VALUE
cdf_s_exponential_Qinv(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_exponential_Qinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.exppow_P(x, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) for the exponential power distribution with parameters a and b.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 791

static VALUE
cdf_s_exppow_P(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_exppow_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.exppow_Q(x, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) for the exponential power distribution with parameters a and b.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 843

static VALUE
cdf_s_exppow_Q(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_exppow_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.fdist_P(x, nu1, nu2) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the F-distribution with nu1 and nu2 degrees of freedom.

Parameters:

  • x (DFloat)
  • nu1 (Float) —

    parameter

  • nu2 (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2083

static VALUE
cdf_s_fdist_P(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_fdist_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.fdist_Pinv(P, nu1, nu2) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the F-distribution with nu1 and nu2 degrees of freedom.

Parameters:

  • P (DFloat)
  • nu1 (Float) —

    parameter

  • nu2 (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2187

static VALUE
cdf_s_fdist_Pinv(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_fdist_Pinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.fdist_Q(x, nu1, nu2) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the F-distribution with nu1 and nu2 degrees of freedom.

Parameters:

  • x (DFloat)
  • nu1 (Float) —

    parameter

  • nu2 (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2135

static VALUE
cdf_s_fdist_Q(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_fdist_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.fdist_Qinv(Q, nu1, nu2) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the F-distribution with nu1 and nu2 degrees of freedom.

Parameters:

  • Q (DFloat)
  • nu1 (Float) —

    parameter

  • nu2 (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2239

static VALUE
cdf_s_fdist_Qinv(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_fdist_Qinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.flat_P(x, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for a uniform distribution from a to b.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1479

static VALUE
cdf_s_flat_P(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_flat_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.flat_Pinv(P, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for a uniform distribution from a to b.

Parameters:

  • P (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1583

static VALUE
cdf_s_flat_Pinv(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_flat_Pinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.flat_Q(x, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for a uniform distribution from a to b.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1531

static VALUE
cdf_s_flat_Q(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_flat_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.flat_Qinv(Q, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for a uniform distribution from a to b.

Parameters:

  • Q (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1635

static VALUE
cdf_s_flat_Qinv(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_flat_Qinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.gamma_P(x, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the gamma distribution with parameters a and b.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1271

static VALUE
cdf_s_gamma_P(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_gamma_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.gamma_Pinv(P, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the gamma distribution with parameters a and b.

Parameters:

  • P (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1375

static VALUE
cdf_s_gamma_Pinv(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_gamma_Pinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.gamma_Q(x, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the gamma distribution with parameters a and b.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1323

static VALUE
cdf_s_gamma_Q(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_gamma_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.gamma_Qinv(Q, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the gamma distribution with parameters a and b.

Parameters:

  • Q (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1427

static VALUE
cdf_s_gamma_Qinv(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_gamma_Qinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.gaussian_P(x, sigma) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Gaussian distribution with standard deviation sigma.

Parameters:

  • x (DFloat)
  • sigma (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 63

static VALUE
cdf_s_gaussian_P(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_gaussian_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.gaussian_Pinv(P, sigma) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Gaussian distribution with standard deviation sigma.

Parameters:

  • P (DFloat)
  • sigma (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 157

static VALUE
cdf_s_gaussian_Pinv(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_gaussian_Pinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.gaussian_Q(x, sigma) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Gaussian distribution with standard deviation sigma.

Parameters:

  • x (DFloat)
  • sigma (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 110

static VALUE
cdf_s_gaussian_Q(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_gaussian_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.gaussian_Qinv(Q, sigma) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Gaussian distribution with standard deviation sigma.

Parameters:

  • Q (DFloat)
  • sigma (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 204

static VALUE
cdf_s_gaussian_Qinv(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_gaussian_Qinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.geometric_P(k, p) ⇒ DFloat

These functions compute the cumulative distribution functions P(k), Q(k) for the geometric distribution with parameter p.

Parameters:

  • k (UInt)
  • p (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 4126

static VALUE
cdf_s_geometric_P(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cUI,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_geometric_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.geometric_Q(k, p) ⇒ DFloat

These functions compute the cumulative distribution functions P(k), Q(k) for the geometric distribution with parameter p.

Parameters:

  • k (UInt)
  • p (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 4174

static VALUE
cdf_s_geometric_Q(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cUI,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_geometric_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.gumbel1_P(x, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Type-1 Gumbel distribution with parameters a and b.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 3291

static VALUE
cdf_s_gumbel1_P(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_gumbel1_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.gumbel1_Pinv(P, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Type-1 Gumbel distribution with parameters a and b.

Parameters:

  • P (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 3395

static VALUE
cdf_s_gumbel1_Pinv(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_gumbel1_Pinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.gumbel1_Q(x, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Type-1 Gumbel distribution with parameters a and b.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 3343

static VALUE
cdf_s_gumbel1_Q(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_gumbel1_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.gumbel1_Qinv(Q, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Type-1 Gumbel distribution with parameters a and b.

Parameters:

  • Q (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 3447

static VALUE
cdf_s_gumbel1_Qinv(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_gumbel1_Qinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.gumbel2_P(x, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Type-2 Gumbel distribution with parameters a and b.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 3499

static VALUE
cdf_s_gumbel2_P(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_gumbel2_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.gumbel2_Pinv(P, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Type-2 Gumbel distribution with parameters a and b.

Parameters:

  • P (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 3603

static VALUE
cdf_s_gumbel2_Pinv(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_gumbel2_Pinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.gumbel2_Q(x, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Type-2 Gumbel distribution with parameters a and b.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 3551

static VALUE
cdf_s_gumbel2_Q(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_gumbel2_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.gumbel2_Qinv(Q, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Type-2 Gumbel distribution with parameters a and b.

Parameters:

  • Q (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 3655

static VALUE
cdf_s_gumbel2_Qinv(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_gumbel2_Qinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.hypergeometric_P(k, n1, n2, t) ⇒ DFloat

These functions compute the cumulative distribution functions P(k), Q(k) for the hypergeometric distribution with parameters n1, n2 and t.

Parameters:

  • k (UInt)
  • n1 (Integer) —

    parameter

  • n2 (Integer) —

    parameter

  • t (Integer) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 4228

static VALUE
cdf_s_hypergeometric_P(VALUE mod, VALUE v0, VALUE v1, VALUE v2, VALUE v3)
{
    ndfunc_arg_in_t ain[1] = {{cUI,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_hypergeometric_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    unsigned int opt[3];

    opt[0] = NUM2UINT(v1);
    opt[1] = NUM2UINT(v2);
    opt[2] = NUM2UINT(v3);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.hypergeometric_Q(k, n1, n2, t) ⇒ DFloat

These functions compute the cumulative distribution functions P(k), Q(k) for the hypergeometric distribution with parameters n1, n2 and t.

Parameters:

  • k (UInt)
  • n1 (Integer) —

    parameter

  • n2 (Integer) —

    parameter

  • t (Integer) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 4284

static VALUE
cdf_s_hypergeometric_Q(VALUE mod, VALUE v0, VALUE v1, VALUE v2, VALUE v3)
{
    ndfunc_arg_in_t ain[1] = {{cUI,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_hypergeometric_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    unsigned int opt[3];

    opt[0] = NUM2UINT(v1);
    opt[1] = NUM2UINT(v2);
    opt[2] = NUM2UINT(v3);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.laplace_P(x, a) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Laplace distribution with width a.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 599

static VALUE
cdf_s_laplace_P(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_laplace_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.laplace_Pinv(P, a) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Laplace distribution with width a.

Parameters:

  • P (DFloat)
  • a (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 693

static VALUE
cdf_s_laplace_Pinv(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_laplace_Pinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.laplace_Q(x, a) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Laplace distribution with width a.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 646

static VALUE
cdf_s_laplace_Q(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_laplace_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.laplace_Qinv(Q, a) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Laplace distribution with width a.

Parameters:

  • Q (DFloat)
  • a (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 740

static VALUE
cdf_s_laplace_Qinv(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_laplace_Qinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.logistic_P(x, a) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the logistic distribution with scale parameter a.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2683

static VALUE
cdf_s_logistic_P(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_logistic_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.logistic_Pinv(P, a) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the logistic distribution with scale parameter a.

Parameters:

  • P (DFloat)
  • a (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2777

static VALUE
cdf_s_logistic_Pinv(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_logistic_Pinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.logistic_Q(x, a) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the logistic distribution with scale parameter a.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2730

static VALUE
cdf_s_logistic_Q(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_logistic_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.logistic_Qinv(Q, a) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the logistic distribution with scale parameter a.

Parameters:

  • Q (DFloat)
  • a (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2824

static VALUE
cdf_s_logistic_Qinv(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_logistic_Qinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.lognormal_P(x, zeta, sigma) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the lognormal distribution with parameters zeta and sigma.

Parameters:

  • x (DFloat)
  • zeta (Float) —

    parameter

  • sigma (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1687

static VALUE
cdf_s_lognormal_P(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_lognormal_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.lognormal_Pinv(P, zeta, sigma) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the lognormal distribution with parameters zeta and sigma.

Parameters:

  • P (DFloat)
  • zeta (Float) —

    parameter

  • sigma (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1791

static VALUE
cdf_s_lognormal_Pinv(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_lognormal_Pinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.lognormal_Q(x, zeta, sigma) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the lognormal distribution with parameters zeta and sigma.

Parameters:

  • x (DFloat)
  • zeta (Float) —

    parameter

  • sigma (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1739

static VALUE
cdf_s_lognormal_Q(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_lognormal_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.lognormal_Qinv(Q, zeta, sigma) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the lognormal distribution with parameters zeta and sigma.

Parameters:

  • Q (DFloat)
  • zeta (Float) —

    parameter

  • sigma (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1843

static VALUE
cdf_s_lognormal_Qinv(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_lognormal_Qinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.negative_binomial_P(k, p, n) ⇒ DFloat

These functions compute the cumulative distribution functions P(k), Q(k) for the negative binomial distribution with parameters p and n.

Parameters:

  • k (UInt)
  • p (Float) —

    parameter

  • n (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 3914

static VALUE
cdf_s_negative_binomial_P(VALUE mod , VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cUI,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_negative_binomial_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.negative_binomial_Q(k, p, n) ⇒ DFloat

These functions compute the cumulative distribution functions P(k), Q(k) for the negative binomial distribution with parameters p and n.

Parameters:

  • k (UInt)
  • p (Float) —

    parameter

  • n (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 3967

static VALUE
cdf_s_negative_binomial_Q(VALUE mod , VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cUI,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_negative_binomial_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.pareto_P(x, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Pareto distribution with exponent a and scale b.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2875

static VALUE
cdf_s_pareto_P(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_pareto_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.pareto_Pinv(P, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Pareto distribution with exponent a and scale b.

Parameters:

  • P (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2979

static VALUE
cdf_s_pareto_Pinv(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_pareto_Pinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.pareto_Q(x, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Pareto distribution with exponent a and scale b.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2927

static VALUE
cdf_s_pareto_Q(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_pareto_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.pareto_Qinv(Q, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Pareto distribution with exponent a and scale b.

Parameters:

  • Q (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 3031

static VALUE
cdf_s_pareto_Qinv(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_pareto_Qinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.pascal_P(k, p, n) ⇒ DFloat

These functions compute the cumulative distribution functions P(k), Q(k) for the Pascal distribution with parameters p and n.

Parameters:

  • k (UInt)
  • p (Integer) —

    parameter

  • n (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 4021

static VALUE
cdf_s_pascal_P(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cUI,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_pascal_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    char *opt;
    opt = ALLOCA_N(char,sizeof(double)+sizeof(unsigned int));

    *(double*)opt = NUM2DBL(v1);
    *(unsigned int*)(opt+sizeof(double)) = NUM2UINT(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.pascal_Q(k, p, n) ⇒ DFloat

These functions compute the cumulative distribution functions P(k), Q(k) for the Pascal distribution with parameters p and n.

Parameters:

  • k (UInt)
  • p (Integer) —

    parameter

  • n (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 4076

static VALUE
cdf_s_pascal_Q(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cUI,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_pascal_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    char *opt;
    opt = ALLOCA_N(char,sizeof(double)+sizeof(unsigned int));

    *(double*)opt = NUM2DBL(v1);
    *(unsigned int*)(opt+sizeof(double)) = NUM2UINT(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.poisson_P(k, mu) ⇒ DFloat

These functions compute the cumulative distribution functions P(k), Q(k) for the Poisson distribution with parameter mu.

Parameters:

  • k (UInt)
  • mu (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 3704

static VALUE
cdf_s_poisson_P(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cUI,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_poisson_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.poisson_Q(k, mu) ⇒ DFloat

These functions compute the cumulative distribution functions P(k), Q(k) for the Poisson distribution with parameter mu.

Parameters:

  • k (UInt)
  • mu (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 3752

static VALUE
cdf_s_poisson_Q(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cUI,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_poisson_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.rayleigh_P(x, sigma) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Rayleigh distribution with scale parameter sigma.

Parameters:

  • x (DFloat)
  • sigma (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1079

static VALUE
cdf_s_rayleigh_P(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_rayleigh_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.rayleigh_Pinv(P, sigma) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Rayleigh distribution with scale parameter sigma.

Parameters:

  • P (DFloat)
  • sigma (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1173

static VALUE
cdf_s_rayleigh_Pinv(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_rayleigh_Pinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.rayleigh_Q(x, sigma) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Rayleigh distribution with scale parameter sigma.

Parameters:

  • x (DFloat)
  • sigma (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1126

static VALUE
cdf_s_rayleigh_Q(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_rayleigh_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.rayleigh_Qinv(Q, sigma) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Rayleigh distribution with scale parameter sigma.

Parameters:

  • Q (DFloat)
  • sigma (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 1220

static VALUE
cdf_s_rayleigh_Qinv(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_rayleigh_Qinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.tdist_P(x, nu) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the t-distribution with nu degrees of freedom.

Parameters:

  • x (DFloat)
  • nu (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2287

static VALUE
cdf_s_tdist_P(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_tdist_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.tdist_Pinv(P, nu) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the t-distribution with nu degrees of freedom.

Parameters:

  • P (DFloat)
  • nu (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2381

static VALUE
cdf_s_tdist_Pinv(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_tdist_Pinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.tdist_Q(x, nu) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the t-distribution with nu degrees of freedom.

Parameters:

  • x (DFloat)
  • nu (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2334

static VALUE
cdf_s_tdist_Q(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_tdist_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.tdist_Qinv(Q, nu) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the t-distribution with nu degrees of freedom.

Parameters:

  • Q (DFloat)
  • nu (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 2428

static VALUE
cdf_s_tdist_Qinv(VALUE mod, VALUE v0, VALUE v1)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_tdist_Qinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double c1;

    c1 = NUM2DBL(v1);

    return na_ndloop3(&ndf, &c1, 1, v0);
}

.ugaussian_P(x) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the unit Gaussian distribution.

Parameters:

  • x (DFloat)

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 247

static VALUE
cdf_s_ugaussian_P(VALUE mod, VALUE v0)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_ugaussian_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};

    return na_ndloop(&ndf, 1, v0);
}

.ugaussian_Pinv(P) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the unit Gaussian distribution.

Parameters:

  • P (DFloat)

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 327

static VALUE
cdf_s_ugaussian_Pinv(VALUE mod, VALUE v0)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_ugaussian_Pinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};

    return na_ndloop(&ndf, 1, v0);
}

.ugaussian_Q(x) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the unit Gaussian distribution.

Parameters:

  • x (DFloat)

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 287

static VALUE
cdf_s_ugaussian_Q(VALUE mod, VALUE v0)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_ugaussian_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};

    return na_ndloop(&ndf, 1, v0);
}

.ugaussian_Qinv(Q) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the unit Gaussian distribution.

Parameters:

  • Q (DFloat)

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 367

static VALUE
cdf_s_ugaussian_Qinv(VALUE mod, VALUE v0)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_ugaussian_Qinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};

    return na_ndloop(&ndf, 1, v0);
}

.weibull_P(x, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Weibull distribution with scale a and exponent b.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 3083

static VALUE
cdf_s_weibull_P(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_weibull_P, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.weibull_Pinv(P, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Weibull distribution with scale a and exponent b.

Parameters:

  • P (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 3187

static VALUE
cdf_s_weibull_Pinv(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_weibull_Pinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.weibull_Q(x, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Weibull distribution with scale a and exponent b.

Parameters:

  • x (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 3135

static VALUE
cdf_s_weibull_Q(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_weibull_Q, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}

.weibull_Qinv(Q, a, b) ⇒ DFloat

These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the Weibull distribution with scale a and exponent b.

Parameters:

  • Q (DFloat)
  • a (Float) —

    parameter

  • b (Float) —

    parameter

Returns:

  • (DFloat) —

    result



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# File 'ext/numo/gsl/cdf/gsl_cdf.c', line 3239

static VALUE
cdf_s_weibull_Qinv(VALUE mod, VALUE v0, VALUE v1, VALUE v2)
{
    ndfunc_arg_in_t ain[1] = {{cDF,0}};
    ndfunc_arg_out_t aout[1] = {{cDF,0}};
    ndfunc_t ndf = {iter_cdf_s_weibull_Qinv, STRIDE_LOOP|NDF_EXTRACT, 1,1, ain,aout};
    double opt[2];

    opt[0] = NUM2DBL(v1);
    opt[1] = NUM2DBL(v2);

    return na_ndloop3(&ndf, opt, 1, v0);
}