diff --git a/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/README.md b/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/README.md index c6380247ebd3..7b50045d66c9 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/README.md +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/README.md @@ -166,6 +166,106 @@ for ( i = 0; i < 10; i++ ) { + + +* * * + +
+ +## C APIs + + + +
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+ +### Usage + +```c +#include "stdlib/stats/base/dists/betaprime/logpdf.h" +``` + +#### stdlib_base_dists_betaprime_logpdf( x, alpha, beta ) + +Evaluates the natural logarithm of the [probability density function][pdf] (PDF) for a [beta prime][betaprime-distribution] distribution with parameters `alpha` (first shape parameter) and `beta` (second shape parameter). + +```c +double y = stdlib_base_dists_betaprime_logpdf( 0.5, 1.0, 1.0 ); +// returns ~-0.955 +``` + +The function accepts the following arguments: + +- **x**: `[in] double` input value. +- **alpha**: `[in] double` first shape parameter. +- **beta**: `[in] double` second shape parameter. + +```c +double stdlib_base_dists_betaprime_logpdf( const double x, const double alpha, const double beta ); +``` + +
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+ +### Examples + +```c +#include "stdlib/stats/base/dists/betaprime/logpdf.h" +#include "stdlib/constants/float64/eps.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 alpha; + double beta; + double x; + double y; + int i; + + for ( i = 0; i < 10; i++ ) { + x = random_uniform( 0.0, 1.0 ); + alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 ); + beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 ); + y = stdlib_base_dists_betaprime_logpdf( x, alpha, beta ); + printf( "x: %lf, α: %lf, β: %lf, ln(f(x;α,β)): %lf\n", x, alpha, beta, y ); + } +} +``` + +
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