chore: apply suggestions from code review

Signed-off-by: Philipp Burckhardt <[email protected]>

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/gamma/logpdf/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;
@@ -53,9 +53,9 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	alpha = new Float64Array( len );
 	beta = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		x[ i ] = ( randu()*100.0 ) + EPS;
-		alpha[ i ] = ( randu()*100.0 ) + EPS;
-		beta[ i ] = ( randu()*100.0 ) + EPS;
+		x[ i ] = uniform( EPS, 100.0 );
+		alpha[ i ] = uniform( EPS, 100.0 );
+		beta[ i ] = uniform( EPS, 100.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/gamma/logpdf/examples/c/example.c

@@ -37,6 +37,6 @@ int main( void ) {
 		alpha = random_uniform( 0.0, 20.0 );
 		beta = random_uniform( 0.0, 20.0 );
 		y = stdlib_base_dists_gamma_logpdf( x, alpha, beta );
-		printf( "x: %lf, α: %lf, β: %lf, ln(f(x;α,β)):: %lf\n", x, alpha, beta, y );
+		printf( "x: %lf, α: %lf, β: %lf, ln(f(x;α,β)): %lf\n", x, alpha, beta, y );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/gamma/logpdf/src/main.c

@@ -44,10 +44,9 @@
 /**
 * Computes `(z^a)*(e^-z) / gamma(a)`.
 *
-* @private
 * @param a   input value
 * @param z   input value
-* @returns   function value
+* @return    function value
 */
 static double regularised_gamma_prefix( const double a, const double z ) {
 	double prefix;
@@ -127,10 +126,9 @@ static double regularised_gamma_prefix( const double a, const double z ) {
 /**
 * Calculates the partial derivative with respect to x of the incomplete gamma function.
 *
-* @private
 * @param a   function parameter
 * @param x   function parameter
-* @returns   function value
+* @return    function value
 */
 static double gamma_p_derivative( const double a, const double x ) {
 	double f1;
@@ -165,11 +163,12 @@ static double gamma_p_derivative( const double a, const double x ) {
 // MAIN //
 
 /**
+* Evaluates the logarithm of the probability density function (PDF) for a gamma distribution with shape parameter `alpha` and rate parameter `beta` at a value `x`.
 *
 * @param x       input value
 * @param alpha   shape parameter
 * @param beta    rate parameter
-* @returns      evaluated logPDF
+* @return        evaluated logPDF
 *
 * @example
 * double y = stdlib_base_dists_gamma_logpdf( 2.0, 0.5, 1.0 );