chore: minor clean-up

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---

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/logistic/mgf/README.md

@@ -189,7 +189,7 @@ double out = stdlib_base_dists_logistic_mgf( 0.9, 0.0, 1.0 );
 
 The function accepts the following arguments:
 
--   **t**: `[in] double` value parameter.
+-   **t**: `[in] double` input value.
 -   **mu**: `[in] double` location parameter.
 -   **s**: `[in] double` scale parameter.
 
@@ -198,34 +198,46 @@ double stdlib_base_dists_logistic_mgf( const double t, const double mu, const do
 ```
 
 </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/mgf.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 t;
     double y;
     int i;
+
     for ( i = 0; i < 25; i++ ) {
-        mu = random_uniform( 0.0, 10.0 ) - 5.0;
+        mu = random_uniform( -5.0, 5.0 );
         s = random_uniform( 0.0, 20.0 );
         t = random_uniform( 0.0, 10.0 );
         y = stdlib_base_dists_logistic_mgf( t, mu, s );
-        printf( "t: %lf, µ: %lf, s: %lf, mgf(X;t,µ,s): %lf\n", t, mu, s, y );
+        printf( "t: %lf, µ: %lf, s: %lf, M_X(t;µ,s): %lf\n", t, mu, s, y );
     }
 }
 ```

lib/node_modules/@stdlib/stats/base/dists/logistic/mgf/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, opts, function benchmark( b ) {
 	mu = new Float64Array( len );
 	s = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		t[ i ] = randu();
-		mu[ i ] = ( randu() * 20.0 ) - 10.0;
-		s[ i ] = ( randu() * 5.0 ) + EPS;
+		t[ i ] = uniform( 0.0, 1.0 );
+		mu[ i ] = uniform( -5.0, 5.0 );
+		s[ i ] = uniform( EPS, 5.0 );
 	}
 
 	b.tic();

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

@@ -104,7 +104,7 @@ static double benchmark( void ) {
 	for ( i = 0; i < 100; i++ ) {
 		x[ i ] = random_uniform( 0.0, 100.0 );
 		mu[ i ] = random_uniform( 0.0, 100.0 );
-		s[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		s[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 	}
 
 	t = tic();

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

@@ -37,6 +37,6 @@ int main( void ) {
 		mu = random_uniform( 0.0, 10.0 );
 		s = random_uniform( 0.0, 10.0 );
 		y = stdlib_base_dists_logistic_mgf( t, mu, s );
-		printf( "t: %lf, µ: %lf, s: %lf, mgf(X;t,µ,s): %lf\n", t, mu, s, y );
+		printf( "t: %lf, µ: %lf, s: %lf, M_X(t;µ,s): %lf\n", t, mu, s, y );
 	}
 }

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

@@ -28,6 +28,7 @@ var addon = require( './../src/addon.node' );
 /**
 * Evaluates the moment-generating function (MGF) for a logistic distribution with mean `mu` and scale parameter `s` at a value `t`.
 *
+* @private
 * @param {number} t - input value
 * @param {number} mu - mean
 * @param {NonNegativeNumber} s - scale parameter

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

@@ -25,46 +25,17 @@
 /**
 * Evaluates the moment-generating function (MGF) for a logistic distribution with mean `mu` and scale parameter `s` at a value `t`.
 *
-* @param {number} t - input value
-* @param {number} mu - mean
-* @param {NonNegativeNumber} s - scale parameter
-* @returns {number} evaluated MGF
+* @param t   input value
+* @param mu  mean
+* @param s   scale parameter
+* @return    evaluated MGF
 *
 * @example
 * double y = stdlib_base_dists_logistic_mgf( 0.9, 0.0, 1.0 );
 * // returns ~9.15
-*
-* @example
-* double y = stdlib_base_dists_logistic_mgf( 0.1, 4.0, 4.0 );
-* // returns ~1.971
-*
-* @example
-* double y = stdlib_base_dists_logistic_mgf( -0.2, 4.0, 4.0 );
-* // returns ~1.921
-*
-* @example
-* double y = stdlib_base_dists_logistic_mgf( 0.5, 0.0, -1.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_logistic_mgf( 0.5, 0.0, 4.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_logistic_mgf( NaN, 0.0, 1.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_logistic_mgf( 0.0, NaN, 1.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_logistic_mgf( 0.0, 0.0, NaN );
-* // returns NaN
 */
 double stdlib_base_dists_logistic_mgf( const double t, const double mu, const double s ) {
-	double st;
-	st = s * t;
+	double st = s * t;
 	if (
 		stdlib_base_is_nan( st ) ||
 		stdlib_base_is_nan( mu ) ||