chore: minor clean-up

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Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/cosine/median/src/main.c

@@ -20,7 +20,7 @@
 #include "stdlib/math/base/assert/is_nan.h"
 
 /**
-* Returns the mode for a raised cosine distribution with location `mu` and scale `s`.
+* Returns the median for a raised cosine distribution with location `mu` and scale `s`.
 *
 * @param mu   location parameter
 * @param s    scale parameter
@@ -31,7 +31,7 @@
 * // returns 0.0
 */
 double stdlib_base_dists_cosine_median( const double mu, const double s ) {
-	if ( 
+	if (
 		stdlib_base_is_nan( mu ) ||
 		stdlib_base_is_nan( s ) ||
 		s <= 0.0

lib/node_modules/@stdlib/stats/base/dists/cosine/skewness/examples/c/example.c

@@ -36,6 +36,6 @@ int main( void ) {
 		mu = random_uniform( -50.0, 50.0 );
 		s = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 		y = stdlib_base_dists_cosine_skewness( mu, s );
-		printf( "µ: %lf, s: %lf, SD(X;µ,s): %lf\n", mu, s, y );
+		printf( "µ: %lf, s: %lf, skew(X;µ,s): %lf\n", mu, s, y );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/cosine/skewness/manifest.json

@@ -39,8 +39,7 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/math/base/napi/binary",
-        "@stdlib/math/base/assert/is-nan",
-        "@stdlib/constants/float64/eps"
+        "@stdlib/math/base/assert/is-nan"
       ]
     },
     {

lib/node_modules/@stdlib/stats/base/dists/cosine/stdev/manifest.json

@@ -40,7 +40,6 @@
       "dependencies": [
         "@stdlib/math/base/napi/binary",
         "@stdlib/math/base/assert/is-nan",
-        "@stdlib/constants/float64/eps",
         "@stdlib/math/base/special/sqrt",
         "@stdlib/constants/float64/pi-squared"
       ]

lib/node_modules/@stdlib/stats/base/dists/cosine/stdev/src/main.c

@@ -22,7 +22,7 @@
 #include "stdlib/constants/float64/pi_squared.h"
 
 /**
-* Returns the mode for a raised cosine distribution with location `mu` and scale `s`.
+* Returns the standard deviation for a raised cosine distribution with location `mu` and scale `s`.
 *
 * @param mu   location parameter
 * @param s    scale parameter
@@ -33,7 +33,7 @@
 * // returns ~0.362
 */
 double stdlib_base_dists_cosine_stdev( const double mu, const double s ) {
-	if ( 
+	if (
 		stdlib_base_is_nan( mu ) ||
 		stdlib_base_is_nan( s ) ||
 		s <= 0.0

lib/node_modules/@stdlib/stats/base/dists/cosine/stdev/test/test.js

@@ -96,7 +96,7 @@ tape( 'the function returns the standard deviation of a raised cosine distributi
 				t.equal( y, expected[i], 'mu:'+mu[i]+', s: '+s[i]+', y: '+y+', expected: '+expected[i] );
 			} else {
 				delta = abs( y - expected[ i ] );
-				tol = 2.0 * EPS * abs( expected[ i ] );
+				tol = 1.0 * EPS * abs( expected[ i ] );
 				t.ok( delta <= tol, 'within tolerance. mu: '+mu[i]+'. s: '+s[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
 			}
 		}

lib/node_modules/@stdlib/stats/base/dists/cosine/stdev/test/test.native.js

@@ -105,7 +105,7 @@ tape( 'the function returns the stdev of a raised cosine distribution', opts, fu
 				t.equal( y, expected[i], 'mu:'+mu[i]+', s: '+s[i]+', y: '+y+', expected: '+expected[i] );
 			} else {
 				delta = abs( y - expected[ i ] );
-				tol = 2.0 * EPS * abs( expected[ i ] );
+				tol = 1.0 * EPS * abs( expected[ i ] );
 				t.ok( delta <= tol, 'within tolerance. mu: '+mu[i]+'. s: '+s[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
 			}
 		}