chore: address PR review feedback

---
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/logistic/entropy/README.md

@@ -176,32 +176,44 @@ double stdlib_base_dists_logistic_entropy( const double mu, const double s );
 ```
 
 </section>
+
 <!-- /.usage -->
+
 <!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
 <section class="notes">
+
 </section>
+
 <!-- /.notes -->
+
 <!-- C API usage examples. -->
+
 <section class="examples">
+
 ### Examples
+
 ```c
 #include "stdlib/stats/base/dists/logistic/entropy.h"
 #include <stdlib.h>
 #include <stdio.h>
+
 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 mu;
     double s;
     double y;
     int i;
+
     for ( i = 0; i < 25; i++ ) {
         mu = random_uniform( 0.0, 10.0 ) - 5.0;
         s = random_uniform( 0.0, 20.0 );
         y = stdlib_base_dists_logistic_entropy( mu, s );
-        printf( "µ: %lf, s: %lf, Ent(X;µ,s): %lf\n", mu, s, y );
+        printf( "µ: %lf, s: %lf, h(X;µ,s): %lf\n", mu, s, y );
     }
 }
 ```

lib/node_modules/@stdlib/stats/base/dists/logistic/entropy/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 ) {
 	mu = new Float64Array( len );
 	s = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		mu[ i ] = ( randu() * 100.0 ) - 50.0;
-		s[ i ] = ( randu() * 20.0 ) + EPS;
+		mu[ i ] = uniform( -50.0, 50.0 );
+		s[ i ] = uniform( EPS, 20.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/logistic/entropy/benchmark/c/benchmark.c

@@ -101,8 +101,8 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		mu[ i ] = random_uniform( 0.0, 100.0 ) - 50.0;
-		s[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		mu[ i ] = random_uniform( -50.0, 50.0 );
+		s[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 	}
 
 	t = tic();

lib/node_modules/@stdlib/stats/base/dists/logistic/entropy/examples/c/example.c

@@ -35,6 +35,6 @@ int main( void ) {
 		mu = random_uniform( 0.0, 10.0 ) - 5.0;
 		s = random_uniform( 0.0, 20.0 );
 		y = stdlib_base_dists_logistic_entropy( mu, s );
-		printf( "µ: %lf, s: %lf, Ent(X;µ,s): %lf\n", mu, s, y );
+		printf( "µ: %lf, s: %lf, h(X;µ,s): %lf\n", mu, s, y );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/logistic/entropy/lib/native.js

@@ -28,6 +28,7 @@ var addon = require( './../src/addon.node' );
 /**
 * Returns the differential entropy for a logistic distribution with location `mu` and scale `s`.
 *
+* @private
 * @param {number} mu - location parameter
 * @param {PositiveNumber} s - scale parameter
 * @returns {number} entropy

lib/node_modules/@stdlib/stats/base/dists/logistic/entropy/src/main.c

@@ -23,29 +23,13 @@
 /**
 * Returns the differential entropy for a logistic distribution with location `mu` and scale `s`.
 *
-* @param {number} mu - location parameter
-* @param {PositiveNumber} s - scale parameter
-* @returns {number} entropy
+* @param mu    location parameter
+* @param s     scale parameter
+* @return      entropy
 *
 * @example
-* var y = entropy( 0.0, 1.0 );
+* double y = stdlib_base_dists_logistic_entropy( 0.0, 1.0 );
 * // returns 2.0
-*
-* @example
-* var y = entropy( 5.0, 2.0 );
-* // returns ~2.693
-*
-* @example
-* var y = entropy( NaN, 1.0 );
-* // returns NaN
-*
-* @example
-* var y = entropy( 0.0, NaN );
-* // returns NaN
-*
-* @example
-* var y = entropy( 0.0, 0.0 );
-* // returns NaN
 */
 double stdlib_base_dists_logistic_entropy( const double mu, const double s ) {
 	if (