chore: minor clean-up

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
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---

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/rayleigh/quantile/README.md

@@ -175,7 +175,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_rayleigh_quantile( p, sigma )
 
-Evaluates the quantile function for a Rayleigh distribution.
+Evaluates the [quantile function][quantile-function] for a [Rayleigh][rayleigh-distribution] distribution with parameter `sigma` (scale parameter).
 
 ```c
 double out = stdlib_base_dists_rayleigh_quantile( 0.8, 1.0 );
@@ -184,7 +184,7 @@ double out = stdlib_base_dists_rayleigh_quantile( 0.8, 1.0 );
 
 The function accepts the following arguments:
 
--   **p**: `[in] double` input value.
+-   **p**: `[in] double` input probability.
 -   **sigma**: `[in] double` scale parameter.
 
 ```c
@@ -214,10 +214,10 @@ int main( void ) {
     double y;
     int i;
     for ( i = 0; i < 25; i++ ) {
-        p = random_uniform( 0.0, 10.0 );
-        sigma = random_uniform( 0.0, 10.0 );
+        p = random_uniform( 0.0, 1.0 );
+        sigma = random_uniform( 0.1, 10.0 );
         y = stdlib_base_dists_rayleigh_quantile( p, sigma );
-        printf( "p: %lf, σ: %lf, f(x;σ): %lf\n", p, sigma, y );
+        printf( "p: %lf, σ: %lf, Q(p;σ): %lf\n", p, sigma, y );
     }
 }
 ```

lib/node_modules/@stdlib/stats/base/dists/rayleigh/quantile/benchmark/benchmark.native.js

@@ -24,7 +24,7 @@ var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
@@ -51,8 +51,8 @@ bench( pkg, opts, function benchmark( b ) {
 	p = new Float64Array( len );
 	sigma = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		p[ i ] = ( randu() * 100.0 ) - 100;
-		sigma[ i ] = ( randu() * 20.0 ) + EPS;
+		p[ i ] = uniform( 0.0, 1.0 );
+		sigma[ i ] = uniform( EPS, 20.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/rayleigh/quantile/benchmark/c/benchmark.c

@@ -101,8 +101,8 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		p[ i ] = random_uniform( -100.0, 0.0 );
-		sigma[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS , STDLIB_CONSTANT_FLOAT64_EPS + 20.0 );
+		p[ i ] = random_uniform( 0.0, 1.0 );
+		sigma[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 	}
 
 	t = tic();

lib/node_modules/@stdlib/stats/base/dists/rayleigh/quantile/examples/c/example.c

@@ -32,9 +32,9 @@ int main( void ) {
 	int i;
 
 	for ( i = 0; i < 25; i++ ) {
-		p = random_uniform( 0.0, 10.0 );
-		sigma = random_uniform( 0.0, 10.0 );
+		p = random_uniform( 0.0, 1.0 );
+		sigma = random_uniform( 0.1, 10.0 );
 		y = stdlib_base_dists_rayleigh_quantile( p, sigma );
-		printf( "p: %lf, σ: %lf, f(x;σ): %lf\n", p, sigma, y );
+		printf( "p: %lf, σ: %lf, Q(p;σ): %lf\n", p, sigma, y );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/rayleigh/quantile/include/stdlib/stats/base/dists/rayleigh/quantile.h

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-* Evaluates the probability density function (QUANTILE) for a Rayleigh distribution with scale parameter `sigma` at a value `x`.
+* Evaluates the quantile function for a Rayleigh distribution.
 */
 double stdlib_base_dists_rayleigh_quantile( const double p, const double sigma );
 

lib/node_modules/@stdlib/stats/base/dists/rayleigh/quantile/lib/native.js

@@ -28,6 +28,7 @@ var addon = require( './../src/addon.node' );
 /**
 * Evaluates the quantile function for a Rayleigh distribution with scale parameter `sigma` at a probability `p`.
 *
+* @private
 * @param {Probability} p - input value
 * @param {NonNegativeNumber} sigma - scale parameter
 * @returns {number} evaluated quantile function

lib/node_modules/@stdlib/stats/base/dists/rayleigh/quantile/src/main.c

@@ -23,38 +23,13 @@
 /**
 * Evaluates the quantile function for a Rayleigh distribution with scale parameter `sigma` at a probability `p`.
 *
-* @param {Probability} p - input value
-* @param {NonNegativeNumber} sigma - scale parameter
-* @returns {number} evaluated quantile function
+* @param p     input probability
+* @param sigma scale parameter
+* @return      evaluated quantile function
 *
 * @example
 * double y = stdlib_base_dists_rayleigh_quantile( 0.8, 1.0 );
 * // returns ~1.794
-*
-* @example
-* double y = stdlib_base_dists_rayleigh_quantile( 0.5, 4.0 );
-* // returns ~4.71
-*
-* @example
-* double y = stdlib_base_dists_rayleigh_quantile( 1.1, 1.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_rayleigh_quantile( -0.2, 1.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_rayleigh_quantile( NaN, 1.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_rayleigh_quantile( 0.0, NaN );
-* // returns NaN
-*
-* @example
-* // Negative scale parameter:
-* double y = stdlib_base_dists_rayleigh_quantile( 0.5, -1.0 );
-* // returns NaN
 */
 double stdlib_base_dists_rayleigh_quantile( const double p, const double sigma ) {
 	double s2;