feat(add c implementation): add stats/base/dists/lognormal/kurtosis

Author: vivekmaurya001

lib/node_modules/@stdlib/stats/base/dists/lognormal/kurtosis/lib/native.js

@@ -26,51 +26,38 @@ var addon = require( './../src/addon.node' );
 // MAIN //
 
 /**
-* Evaluates the cumulative distribution function (CDF) for an arcsine distribution with minimum support `a` and maximum support `b` at a value `x`.
+* Returns the excess kurtosis for a lognormal distribution with location `mu` and scale `sigma`.
 *
 * @private
-* @param {number} x - input value
-* @param {number} a - minimum support
-* @param {number} b - maximum support
-* @returns {Probability} evaluated CDF
+* @param {number} mu - location parameter
+* @param {PositiveNumber} sigma - scale parameter
+* @returns {number} excess kurtosis
 *
 * @example
-* var y = cdf( 9.0, 0.0, 10.0 );
-* // returns ~0.795
+* var y = kurtosis( 0.0, 1.0 );
+* // returns ~110.936
 *
 * @example
-* var y = cdf( 0.5, 0.0, 2.0 );
-* // returns ~0.333
+* var y = kurtosis( 5.0, 2.0 );
+* // returns ~9220556.977
 *
 * @example
-* var y = cdf( +Infinity, 2.0, 4.0 );
-* // returns 1.0
-*
-* @example
-* var y = cdf( -Infinity, 2.0, 4.0 );
-* // returns 0.0
-*
-* @example
-* var y = cdf( NaN, 0.0, 1.0 );
-* // returns NaN
-*
-* @example
-* var y = cdf( 0.0, NaN, 1.0 );
+* var y = kurtosis( NaN, 1.0 );
 * // returns NaN
 *
 * @example
-* var y = cdf( 0.0, 0.0, NaN );
+* var y = kurtosis( 0.0, NaN );
 * // returns NaN
 *
 * @example
-* var y = cdf( 2.0, 1.0, 0.0 );
+* var y = kurtosis( 0.0, 0.0 );
 * // returns NaN
 */
-function cdf( x, a, b ) {
-	return addon( x, a, b );
+function kurtosis( mu, sigma ) {
+	return addon( mu, sigma );
 }
 
 
 // EXPORTS //
 
-module.exports = cdf;
+module.exports = kurtosis;