applied changes

Author: gkbishnoi07

lib/node_modules/@stdlib/stats/base/dists/logistic/ctor/benchmark/benchmark.js

@@ -48,7 +48,7 @@ bench( pkg+'::instantiation', function benchmark( bm ) {
 
 	bm.tic();
 	for ( i = 0; i < bm.iterations; i++ ) {
-		dist = new Beta( mu[ i % len ], s[ i % len ] );
+		dist = new Logistic( mu[ i % len ], s[ i % len ] );
 		if ( !( dist instanceof Logistic ) ) {
 			bm.fail( 'should return a distribution instance' );
 		}
@@ -484,6 +484,7 @@ bench( pkg+':cdf', function benchmark( bm ) {
 
 bench( pkg+':logcdf', function benchmark( bm ) {
 	var dist;
+	var len;
 	var mu;
 	var s;
 	var x;
@@ -493,11 +494,15 @@ bench( pkg+':logcdf', function benchmark( bm ) {
 	mu = 1.0;
 	s = 2.0;
 	dist = new Logistic( mu, s );
+	len = 100;
+	x = new Float64Array(len);
+	for (i = 0; i < len; i++) {
+		x[ i ] = uniform( 0.0, 1.0 );
+	}
 
 	bm.tic();
 	for ( i = 0; i < bm.iterations; i++ ) {
-		x = ( randu()*6.0 ) - 3.0;
-		y = dist.logcdf( x );
+		y = dist.logcdf( x[ i % len ] );
 		if ( isnan( y ) ) {
 			bm.fail( 'should not return NaN' );
 		}

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

@@ -32,36 +32,36 @@ var mgf = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
-    var mu;
-    var s;
-    var len;
-    var t;
-    var y;
-    var i;
+	var mu;
+	var s;
+	var len;
+	var t;
+	var y;
+	var i;
 
     len = 100;
     t = new Float64Array( len );
     mu = new Float64Array( len );
     s = new Float64Array( len );
     for ( i = 0; i < len; i++ ) {
-        s[i] = uniform( 0.1, 0.5 );  
-        t[i] = uniform( 0.0, 0.9 );  
-        mu[i] = uniform( -1.0, 1.0 );  
-    }
+        s[i] = uniform( 0.1, 0.5 );
+        t[i] = uniform( 0.0, 0.9 );
+		mu[i] = uniform( -1.0, 1.0 );
+	}
 
-    b.tic();
-    for ( i = 0; i < b.iterations; i++ ) {
-        y = mgf( t[ i % len ], mu[ i % len ], s[ i % len ] );
-        if ( isnan( y ) ) {
-            b.fail( 'should not return NaN' );
-        }
-    }
-    b.toc();
-    if ( isnan( y ) ) {
-        b.fail( 'should not return NaN' );
-    }
-    b.pass( 'benchmark finished' );
-    b.end();
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+    	y = mgf( t[ i % len ], mu[ i % len ], s[ i % len ] );
+    	if ( isnan( y ) ) {
+    	    b.fail( 'should not return NaN' );
+    	}
+	}
+	b.toc();
+	if ( isnan( y ) ) {
+	    b.fail( 'should not return NaN' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
 });
 
 bench( pkg+':factory', function benchmark( b ) {
@@ -76,11 +76,11 @@ bench( pkg+':factory', function benchmark( b ) {
     mu = 0.0;
     s = 0.5;  // Small s value
     mymgf = mgf.factory( mu, s );
-    
+
     len = 100;
     t = new Float64Array( len );
     for ( i = 0; i < len; i++ ) {
-        t[ i ] = uniform( 0.0, 0.9 );  
+        t[ i ] = uniform( 0.0, 0.9 );
     }
 
     b.tic();