fix: update documentation and examples to use proper uniform distributions

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---

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/frechet/cdf/README.md

@@ -136,7 +136,8 @@ y = mycdf( 7.0 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var EPS = require( '@stdlib/constants/float64/eps' );
 var cdf = require( '@stdlib/stats/base/dists/frechet/cdf' );
 
 var alpha;
@@ -147,10 +148,10 @@ var y;
 var i;
 
 for ( i = 0; i < 100; i++ ) {
-    alpha = randu() * 10.0;
-    x = randu() * 10.0;
-    s = randu() * 10.0;
-    m = randu() * 10.0;
+    alpha = uniform( EPS, 5.0 );
+    s = uniform( EPS, 5.0 );
+    m = uniform( -2.0, 2.0 );
+    x = uniform( m + 0.1, m + 10.0 );
     y = cdf( x, alpha, s, m );
     console.log( 'x: %d, α: %d, s: %d, m: %d, F(x;α,s,m): %d', x.toFixed( 4 ), alpha.toFixed( 4 ), s.toFixed( 4 ), m.toFixed( 4 ), y.toFixed( 4 ) );
 }
@@ -228,6 +229,7 @@ double stdlib_base_dists_frechet_cdf( const double x, const double alpha, const
 
 ```c
 #include "stdlib/stats/base/dists/frechet/cdf.h"
+#include "stdlib/constants/float64/eps.h"
 #include <stdlib.h>
 #include <stdio.h>
 
@@ -245,10 +247,10 @@ int main( void ) {
     int i;
 
     for ( i = 0; i < 10; i++ ) {
-        x = random_uniform( 0.0, 10.0 );
-        alpha = random_uniform( 0.0, 10.0 );
-        s = random_uniform( 0.0, 10.0 );
-        m = random_uniform( 0.0, 10.0 );
+        alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
+        s = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
+        m = random_uniform( -2.0, 2.0 );
+        x = random_uniform( m + 0.1, m + 10.0 );
         y = stdlib_base_dists_frechet_cdf( x, alpha, s, m );
         printf( "x: %lf, alpha: %lf, s: %lf, m: %lf, F(x;alpha,s,m): %lf\n", x, alpha, s, m, y );
     }

lib/node_modules/@stdlib/stats/base/dists/frechet/cdf/benchmark/benchmark.js

@@ -21,7 +21,7 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var Float64Array = require( '@stdlib/array/float64' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
@@ -46,10 +46,10 @@ bench( pkg, function benchmark( b ) {
 	s = new Float64Array( len );
 	m = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		x[ i ] = ( randu()*100.0 ) - 50.0;
-		alpha[ i ] = ( randu()*20.0 ) + EPS;
-		m[ i ] = ( randu()*60.0 ) - 20.0;
-		s[ i ] = ( randu()*20.0 ) + EPS;
+		alpha[ i ] = uniform( EPS, 5.0 );
+		s[ i ] = uniform( EPS, 5.0 );
+		m[ i ] = uniform( -2.0, 2.0 );
+		x[ i ] = uniform( m[ i ] + 0.1, m[ i ] + 20.0 );
 	}
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
@@ -82,7 +82,7 @@ bench( pkg+':factory', function benchmark( b ) {
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = randu() * 50.0;
+		x = uniform( m + 0.1, m + 50.0 );
 		y = mycdf( x );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );

lib/node_modules/@stdlib/stats/base/dists/frechet/cdf/benchmark/benchmark.native.js

@@ -23,7 +23,7 @@
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
 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 tryRequire = require( '@stdlib/utils/try-require' );
 var EPS = require( '@stdlib/constants/float64/eps' );
@@ -55,10 +55,10 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	s = new Float64Array( len );
 	m = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		x[ i ] = ( randu()*100.0 ) - 50.0;
-		alpha[ i ] = ( randu()*20.0 ) + EPS;
-		m[ i ] = ( randu()*60.0 ) - 20.0;
-		s[ i ] = ( randu()*20.0 ) + EPS;
+		alpha[ i ] = uniform( EPS, 5.0 );
+		s[ i ] = uniform( EPS, 5.0 );
+		m[ i ] = uniform( -2.0, 2.0 );
+		x[ i ] = uniform( m[ i ] + 0.1, m[ i ] + 20.0 );
 	}
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {

lib/node_modules/@stdlib/stats/base/dists/frechet/cdf/benchmark/c/benchmark.c

@@ -103,10 +103,10 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		x[ i ] = random_uniform( 0.0, 100.0 ) - 50.0;
-		alpha[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		m[ i ] = random_uniform( 0.0, 60.0 ) - 20.0;
-		s[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		alpha[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
+		s[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
+		m[ i ] = random_uniform( -2.0, 2.0 );
+		x[ i ] = random_uniform( m[ i ] + 0.1, m[ i ] + 20.0 );
 	}
 
 	t = tic();

lib/node_modules/@stdlib/stats/base/dists/frechet/cdf/examples/c/example.c

@@ -17,6 +17,7 @@
 */
 
 #include "stdlib/stats/base/dists/frechet/cdf.h"
+#include "stdlib/constants/float64/eps.h"
 #include <stdlib.h>
 #include <stdio.h>
 
@@ -34,10 +35,10 @@ int main( void ) {
 	int i;
 
 	for ( i = 0; i < 10; i++ ) {
-		x = random_uniform( 0.0, 10.0 );
-		alpha = random_uniform( 0.0, 10.0 );
-		s = random_uniform( 0.0, 10.0 );
-		m = random_uniform( 0.0, 10.0 );
+		alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
+		s = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
+		m = random_uniform( -2.0, 2.0 );
+		x = random_uniform( m + 0.1, m + 10.0 );
 		y = stdlib_base_dists_frechet_cdf( x, alpha, s, m );
 		printf( "x: %lf, alpha: %lf, s: %lf, m: %lf, F(x;alpha,s,m): %lf\n", x, alpha, s, m, y );
 	}

lib/node_modules/@stdlib/stats/base/dists/frechet/cdf/examples/index.js

@@ -18,7 +18,8 @@
 
 'use strict';
 
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var EPS = require( '@stdlib/constants/float64/eps' );
 var cdf = require( './../lib' );
 
 var alpha;
@@ -29,10 +30,10 @@ var y;
 var i;
 
 for ( i = 0; i < 100; i++ ) {
-	alpha = randu() * 10.0;
-	x = randu() * 10.0;
-	s = randu() * 10.0;
-	m = randu() * 10.0;
+	alpha = uniform( EPS, 5.0 );
+	s = uniform( EPS, 5.0 );
+	m = uniform( -2.0, 2.0 );
+	x = uniform( m + 0.1, m + 10.0 );
 	y = cdf( x, alpha, s, m );
 	console.log( 'x: %d, α: %d, s: %d, m: %d, F(x;α,s,m): %d', x.toFixed( 4 ), alpha.toFixed( 4 ), s.toFixed( 4 ), m.toFixed( 4 ), y.toFixed( 4 ) );
 }

lib/node_modules/@stdlib/stats/base/dists/frechet/cdf/include/stdlib/stats/base/dists/frechet/cdf.h

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-* Returns the cumulative distribution function (CDF) for a Fréchet distribution with shape `alpha`, scale `s`, and location `m` at a value `x`.
+* Evaluates the cumulative distribution function (CDF) for a Fréchet distribution with shape `alpha`, scale `s`, and location `m` at a value `x`.
 */
 double stdlib_base_dists_frechet_cdf( const double x, const double alpha, const double s, const double m );
 

lib/node_modules/@stdlib/stats/base/dists/frechet/cdf/manifest.json

@@ -75,6 +75,7 @@
         "libpath": [],
         "dependencies": [
           "@stdlib/math/base/assert/is-nan",
+          "@stdlib/constants/float64/eps",
           "@stdlib/math/base/special/pow",
           "@stdlib/math/base/special/exp"
         ]

lib/node_modules/@stdlib/stats/base/dists/frechet/cdf/src/main.c

@@ -23,16 +23,16 @@
 
 
 /**
-* Returns the cumulative distribution function (CDF) for a Fréchet distribution with shape `alpha`, scale `s`, and location `m` at a value `x`.
+* Evaluates the cumulative distribution function (CDF) for a Fréchet distribution with shape `alpha`, scale `s`, and location `m` at a value `x`.
 *
 * @param x        input value
 * @param alpha    shape parameter
 * @param s        scale parameter
 * @param m        location parameter
-* @return         skewness
+* @return         evaluated CDF
 *
 * @example
-* double y = stdlib_base_frechet_cdf( 10.0, 2.0, 3.0, 2.0 );
+* double y = stdlib_base_dists_frechet_cdf( 10.0, 2.0, 3.0, 2.0 );
 * // returns ~0.869
 */
 double stdlib_base_dists_frechet_cdf( const double x, const double alpha, const double s, const double m ) {