diff --git a/lib/node_modules/@stdlib/stats/base/dists/gamma/quantile/README.md b/lib/node_modules/@stdlib/stats/base/dists/gamma/quantile/README.md index 0887619f47db..abb513815569 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gamma/quantile/README.md +++ b/lib/node_modules/@stdlib/stats/base/dists/gamma/quantile/README.md @@ -150,6 +150,91 @@ logEachMap( 'p: %0.4f, α: %0.4f, β: %0.4f, Q(p;α,β): %0.4f', p, alpha, beta, + + +
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+ +## C APIs + +### Usage + +```c +#include "stdlib/stats/base/dists/gamma/quantile.h" +``` + +#### stdlib_base_dists_gamma_quantile( p, alpha, beta ) + +Evaluates the [quantile function][quantile-function] for a [gamma][gamma-distribution] distribution with parameters `alpha` (shape parameter) and `beta` (rate parameter). + +```c +double out = stdlib_base_dists_gamma_quantile( 0.8, 2.0, 1.0 ); +// returns ~2.994 + +out = stdlib_base_dists_gamma_quantile( 0.5, 4.0, 2.0 ); +// returns ~1.836 +``` + +The function accepts the following arguments: + +- **p**: `[in] double` input probability. +- **alpha**: `[in] double` shape parameter. +- **beta**: `[in] double` rate parameter. + +```c +double stdlib_base_dists_gamma_quantile( const double p, const double alpha, const double beta ); +``` + +
+ + + +
+ +### Examples + +```c +#include "stdlib/stats/base/dists/gamma/quantile.h" +#include +#include + +static double random_uniform( double min, double max ) { + double scale = rand() / (double) RAND_MAX; + return min + ( scale * ( max - min ) ); +} + +int main( void ) { + double alpha; + double beta; + double p; + double y; + int i; + + for ( i = 0; i < 25; i++ ) { + p = random_uniform( 0.0, 1.0 ); + alpha = random_uniform( 0.1, 5.0 ); + beta = random_uniform( 0.1, 5.0 ); + y = stdlib_base_dists_gamma_quantile( p, alpha, beta ); + printf( "p: %lf, α: %lf, β: %lf, Q(p;α,β): %lf\n", p, alpha, beta, y ); + } +} +``` + +
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