From 2e5b37283fb30d27f61424c1279836a25ca4888d Mon Sep 17 00:00:00 2001 From: Philipp Burckhardt Date: Mon, 21 Sep 2026 15:37:50 -0500 Subject: [PATCH] feat: add C implementation for `stats/base/dists/f/quantile` This commit adds a complete C/native surface for the F distribution quantile function. The implementation uses kernel-betaincinv directly, preserving both the inverse value and its complement via out-pointers to maintain numerical accuracy in extreme tails. Co-Authored-By: Claude Opus 5 (1M context) --- .../stats/base/dists/f/quantile/README.md | 99 +++++++++ .../dists/f/quantile/benchmark/c/Makefile | 146 ++++++++++++ .../dists/f/quantile/benchmark/c/benchmark.c | 143 ++++++++++++ .../stats/base/dists/f/quantile/binding.gyp | 170 ++++++++++++++ .../base/dists/f/quantile/examples/c/Makefile | 146 ++++++++++++ .../dists/f/quantile/examples/c/example.c | 43 ++++ .../stats/base/dists/f/quantile/include.gypi | 53 +++++ .../stdlib/stats/base/dists/f/quantile.h | 38 ++++ .../stats/base/dists/f/quantile/lib/native.js | 80 +++++++ .../stats/base/dists/f/quantile/manifest.json | 81 +++++++ .../stats/base/dists/f/quantile/package.json | 3 + .../stats/base/dists/f/quantile/src/addon.c | 22 ++ .../stats/base/dists/f/quantile/src/main.c | 51 +++++ .../base/dists/f/quantile/test/test.native.js | 207 ++++++++++++++++++ 14 files changed, 1282 insertions(+) create mode 100644 lib/node_modules/@stdlib/stats/base/dists/f/quantile/benchmark/c/Makefile create mode 100644 lib/node_modules/@stdlib/stats/base/dists/f/quantile/benchmark/c/benchmark.c create mode 100644 lib/node_modules/@stdlib/stats/base/dists/f/quantile/binding.gyp create mode 100644 lib/node_modules/@stdlib/stats/base/dists/f/quantile/examples/c/Makefile create mode 100644 lib/node_modules/@stdlib/stats/base/dists/f/quantile/examples/c/example.c create mode 100644 lib/node_modules/@stdlib/stats/base/dists/f/quantile/include.gypi create mode 100644 lib/node_modules/@stdlib/stats/base/dists/f/quantile/include/stdlib/stats/base/dists/f/quantile.h create mode 100644 lib/node_modules/@stdlib/stats/base/dists/f/quantile/lib/native.js create mode 100644 lib/node_modules/@stdlib/stats/base/dists/f/quantile/manifest.json create mode 100644 lib/node_modules/@stdlib/stats/base/dists/f/quantile/src/addon.c create mode 100644 lib/node_modules/@stdlib/stats/base/dists/f/quantile/src/main.c create mode 100644 lib/node_modules/@stdlib/stats/base/dists/f/quantile/test/test.native.js diff --git a/lib/node_modules/@stdlib/stats/base/dists/f/quantile/README.md b/lib/node_modules/@stdlib/stats/base/dists/f/quantile/README.md index d693783c4584..fe3f95a2877f 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/f/quantile/README.md +++ b/lib/node_modules/@stdlib/stats/base/dists/f/quantile/README.md @@ -154,6 +154,105 @@ logEachMap( 'p: %0.4f, d1: %0.4f, d2: %0.4f, Q(p;d1,d2): %0.4f', p, d1, d2, quan + + +* * * + +
+ +## C APIs + + + +
+ +
+ + + + + +
+ +### Usage + +```c +#include "stdlib/stats/base/dists/f/quantile.h" +``` + +#### stdlib_base_dists_f_quantile( p, d1, d2 ) + +Evaluates the [quantile function][quantile-function] for an [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom). + +```c +double out = stdlib_base_dists_f_quantile( 0.8, 1.0, 1.0 ); +// returns ~9.472 +``` + +The function accepts the following arguments: + +- **p**: `[in] double` input probability. +- **d1**: `[in] double` numerator degrees of freedom. +- **d2**: `[in] double` denominator degrees of freedom. + +```c +double stdlib_base_dists_f_quantile( const double p, const double d1, const double d2 ); +``` + +
+ + + + + +
+ +
+ + + + + +
+ +### Examples + +```c +#include "stdlib/stats/base/dists/f/quantile.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 d1; + double d2; + double p; + double y; + int i; + + for ( i = 0; i < 25; i++ ) { + p = random_uniform( 0.0, 1.0 ); + d1 = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 100.0 ); + d2 = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 100.0 ); + y = stdlib_base_dists_f_quantile( p, d1, d2 ); + printf( "p: %lf, d1: %lf, d2: %lf, Q(p;d1,d2): %lf\n", p, d1, d2, y ); + } +} +``` + +
+ + + +
+ + +