diff --git a/lib/node_modules/@stdlib/stats/base/dists/poisson/quantile/README.md b/lib/node_modules/@stdlib/stats/base/dists/poisson/quantile/README.md index 7db86cf2b8ee..66ee70c3e402 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/poisson/quantile/README.md +++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/quantile/README.md @@ -152,6 +152,100 @@ for ( i = 0; i < 10; i++ ) { + + +* * * + +
+ +## C APIs + + + +
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+ + + + + +
+ +### Usage + +```c +#include "stdlib/stats/base/dists/poisson/quantile.h" +``` + +#### stdlib_base_dists_poisson_quantile( p, lambda ) + +Evaluates the quantile function for a Poisson distribution with mean parameter `lambda` at a probability `p`. + +```c +double out = stdlib_base_dists_poisson_quantile( 0.5, 2.0 ); +// returns 2 +``` + +The function accepts the following arguments: + +- **p**: `[in] double` input value. +- **lambda**: `[in] double` mean parameter. + +```c +double stdlib_base_dists_poisson_quantile( const double p, const double lambda ); +``` + +
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+ + + + + +
+ +### Examples + +```c +#include "stdlib/stats/base/dists/poisson/quantile.h" +#include +#include + +static double random_uniform( const double min, const double max ) { + double v = (double)rand() / ( (double)RAND_MAX + 1.0 ); + return min + ( v*(max-min) ); +} + +int main( void ) { + double p; + double lambda; + double y; + int i; + for ( i = 0; i < 25; i++ ) { + p = random_uniform( 0.0, 1.0 ); + lambda = random_uniform( 0.0, 100.0); + y = stdlib_base_dists_poisson_quantile( p, lambda ); + printf( "p: %lf, λ: %lf, Q(p;λ): %lf\n", p, lambda, y ); + } +} +``` + +
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