chore: minor clean-up

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---

Author: Planeshifter

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

@@ -190,7 +190,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_laplace_mgf( t, mu, b )
 
-Evaluates the moment-generating function (MGF) for a Laplace (double exponential) distribution with location parameter `mu` and scale parameter `b` at a value `t`.
+Evaluates the [moment-generating function][mgf] (MGF) for a [Laplace][laplace-distribution] (double exponential) distribution with parameters `mu` (location) and `b` (scale).
 
 ```c
 double out = stdlib_base_dists_laplace_mgf( 0.5, 0.0, 1.0 );
@@ -201,41 +201,53 @@ The function accepts the following arguments:
 
 -   **t**: `[in] double` input value.
 -   **mu**: `[in] double` location parameter.
--   **b**: `[in] double` rate parameter.
+-   **b**: `[in] double` scale parameter.
 
 ```c
 double stdlib_base_dists_laplace_mgf( const double t, const double mu, const double b );
 ```
 
 </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/laplace/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 b;
     double t;
     double y;
     int i;
+
     for ( i = 0; i < 25; i++ ) {
         mu = random_uniform( -5.0, 5.0 );
-        b = random_uniform( 0.0, 20.0 );
-        t = random_uniform( 0.0, 20.0 );
+        b = random_uniform( 0.1, 20.0 );
+        t = random_uniform( -1.0/b, 1.0/b );
         y = stdlib_base_dists_laplace_mgf( t, mu, b );
-        printf( "t: %lf, µ: %lf, b: %lf, mgf(X;t,µ,b): %lf\n", t, mu, b, y );
+        printf( "t: %lf, µ: %lf, b: %lf, M_X(t;µ,b): %lf\n", t, mu, b, y );
     }
 }
 ```

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

@@ -24,7 +24,7 @@ var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var Float64Array = require( '@stdlib/array/float64' );
-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 ) {
 	scale = new Float64Array( len );
 	t = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		mu[ i ] = ( randu()*100.0 ) - 50.0;
-		scale[ i ] = ( randu()*20.0 ) + EPS;
-		t[ i ] = ( 2.0 * randu() * 1.0/scale ) - ( 1.0/scale );
+		mu[ i ] = uniform( -50.0, 50.0 );
+		scale[ i ] = uniform( EPS, 20.0 );
+		t[ i ] = uniform( -1.0/scale[ i ], 1.0/scale[ i ] );
 	}
 
 	b.tic();

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

@@ -96,20 +96,20 @@ static double benchmark( void ) {
 	double elapsed;
 	double mu[ 100 ];
 	double b[ 100 ];
-	double x[ 100 ];
+	double t_vals[ 100 ];
 	double y;
 	double t;
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		x[ i ] = random_uniform( 0.0, 50.0 );
 		mu[ i ] = random_uniform( -50.0, 50.0 );
-		b[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		b[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
+		t_vals[ i ] = random_uniform( -1.0/b[ i ], 1.0/b[ i ] );
 	}
 
 	t = tic();
 	for ( i = 0; i < ITERATIONS; i++ ) {
-		y = stdlib_base_dists_laplace_mgf( x[ i%100 ], mu[ i%100 ], b[ i%100 ] );
+		y = stdlib_base_dists_laplace_mgf( t_vals[ i%100 ], mu[ i%100 ], b[ i%100 ] );
 		if ( y != y ) {
 			printf( "should not return NaN\n" );
 			break;

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

@@ -33,10 +33,10 @@ int main( void ) {
 	int i;
 
 	for ( i = 0; i < 25; i++ ) {
-		mu = random_uniform( 0.0, 10.0 ) - 5.0;
-		t = random_uniform( 0.0, 1.0 );
-		b = random_uniform( 0.0, 20.0 );
+		mu = random_uniform( -5.0, 5.0 );
+		b = random_uniform( 0.1, 20.0 );
+		t = random_uniform( -1.0/b, 1.0/b );
 		y = stdlib_base_dists_laplace_mgf( t, mu, b );
-		printf( "t: %lf, µ: %lf, b: %lf, mgf(X;t,µ,b): %lf\n", t, mu, b, y );
+		printf( "t: %lf, µ: %lf, b: %lf, M_X(t;µ,b): %lf\n", t, mu, b, y );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/laplace/mgf/include/stdlib/stats/base/dists/laplace/mgf.h

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-* Returns the moment-generating function (MGF) for a Laplace (double exponential) distribution with location parameter `mu` and scale parameter `b` at a value `t`.
+* Evaluates the moment-generating function (MGF) for a Laplace distribution.
 */
 double stdlib_base_dists_laplace_mgf( const double t, const double mu, const double b );
 

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

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

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

@@ -25,50 +25,14 @@
 /**
 * Evaluates the moment-generating function (MGF) for a Laplace (double exponential) distribution with location parameter `mu` and scale parameter `b` at a value `t`.
 *
-* @param {number} t - input value
-* @param {number} mu - mean
-* @param {NonNegativeNumber} b - scale parameter
-* @returns {number} evaluated MGF
+* @param t  input value
+* @param mu location parameter
+* @param b  scale parameter
+* @return   evaluated MGF
 *
 * @example
 * double y = stdlib_base_dists_laplace_mgf( 0.5, 0.0, 1.0 );
 * // returns ~1.333
-*
-* @example
-* double y = stdlib_base_dists_laplace_mgf( 0.0, 0.0, 1.0 );
-* // returns 1.0
-*
-* @example
-* double y = stdlib_base_dists_laplace_mgf( -1.0, 4.0, 0.2 );
-* // returns ~0.019
-*
-* @example
-* double y = stdlib_base_dists_laplace_mgf( NaN, 0.0, 1.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_laplace_mgf( 0.0, NaN, 1.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_laplace_mgf( 0.0, 0.0, NaN );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_laplace_mgf( 1.0, 0.0, 2.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_laplace_mgf( -0.5, 0.0, 4.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_laplace_mgf( 2.0, 0.0, 0.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_laplace_mgf( 2.0, 0.0, -1.0 );
-* // returns NaN
 */
 double stdlib_base_dists_laplace_mgf( const double t, const double mu, const double b ) {
 	double bt;