chore: fix parameter names, return annotations, and example code

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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/math/base/special/betaln/include/stdlib/math/base/special/betaln.h

@@ -29,7 +29,7 @@ extern "C" {
 /**
 * Evaluates the natural logarithm of the beta function.
 */
-double stdlib_base_betaln( const double x, const double y );
+double stdlib_base_betaln( const double a, const double b );
 
 #ifdef __cplusplus
 }

lib/node_modules/@stdlib/math/base/special/betaln/src/main.c

@@ -66,7 +66,7 @@ static const double XMAX = 3.745194030963158e306;
 * -   Fox, Leslie, and Ian Bax Parker. 1968. _Chebyshev polynomials in numerical analysis_. Oxford Mathematical Handbooks. London, United Kingdom: Oxford University Press. <https://books.google.com/books?id=F8NzsEtJCD0C>.
 *
 * @param x    value at which the series is to be evaluated
-* @returns    series value
+* @return     series value
 */
 static double dceval( const double x ) {
 	double twox;
@@ -119,7 +119,7 @@ static double gammaCorrection( const double x ) {
 *
 * @param a    first input value
 * @param b    second input value
-* @returns    natural logarithm of beta function
+* @return     natural logarithm of beta function
 *
 * @example
 * double out = stdlib_base_betaln( 5.0, 0.2 );

lib/node_modules/@stdlib/math/base/special/gamma-delta-ratio/src/main.c

@@ -64,7 +64,7 @@ static const double FACTORIAL_169 = 4.269068009004705e+304;
 *
 * @param z        first gamma parameter
 * @param delta    difference
-* @returns        gamma ratio
+* @return         gamma ratio
 */
 static double gammaDeltaRatioLanczos( const double z, const double delta ) {
 	double result;

lib/node_modules/@stdlib/math/base/special/gammaln/src/main.c

@@ -396,7 +396,7 @@ static double polyval_w( const double x ) {
 * ```
 *
 * @param x    input value
-* @returns    function value
+* @return     function value
 *
 * @example
 * double out = stdlib_base_gammaln( 1.0 );

lib/node_modules/@stdlib/stats/base/dists/triangular/mean/src/main.c

@@ -25,10 +25,10 @@
 * @param a   minimum support
 * @param b   maximum support
 * @param c   mode
-* @returns   expected value
+* @return    expected value
 *
 * @example
-* double v = mean( 0.0, 10.0, 5.0 );
+* double v = stdlib_base_dists_triangular_mean( 0.0, 10.0, 5.0 );
 * // returns 5.0
 */
 double stdlib_base_dists_triangular_mean( const double a, const double b, const double c ) {

lib/node_modules/@stdlib/stats/base/dists/triangular/mode/src/main.c

@@ -25,10 +25,10 @@
 * @param a  minimum support
 * @param b  maximum support
 * @param c  mode
-* @returns  mode
+* @return   mode
 *
 * @example
-* double v = mode( 0.0, 10.0, 5.0 );
+* double v = stdlib_base_dists_triangular_mode( 0.0, 10.0, 5.0 );
 * // returns 5.0
 */
 double stdlib_base_dists_triangular_mode( const double a, const double b, const double c ) {

lib/node_modules/@stdlib/stats/base/dists/weibull/mean/src/main.c

@@ -25,10 +25,10 @@
 *
 * @param k        shape parameter
 * @param lambda   scale parameter
-* @returns        expected value
+* @return         expected value
 *
 * @example
-* double v = mean( 1.0, 1.0 );
+* double v = stdlib_base_dists_weibull_mean( 1.0, 1.0 );
 * // returns 1.0
 */
 double stdlib_base_dists_weibull_mean( const double k, const double lambda ) {