chore: minor clean-up

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---

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/pareto-type1/logcdf/README.md

@@ -191,7 +191,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_pareto_type1_logcdf( x, alpha, beta )
 
-Returns the logcdf of a Pareto (Type I) distribution.
+Evaluates the natural logarithm of the cumulative distribution function (CDF) for a Pareto (Type I) distribution with parameters `alpha` (shape parameter) and `beta` (scale parameter).
 
 ```c
 double y = stdlib_base_dists_pareto_type1_logcdf( 2.0, 1.0, 1.0 );
@@ -200,43 +200,55 @@ double y = stdlib_base_dists_pareto_type1_logcdf( 2.0, 1.0, 1.0 );
 
 The function accepts the following arguments:
 
--   **x**: `[in] double` first shape parameter.
--   **alpha**: `[in] double` second shape parameter.
--   **beta**: `[in] double` third shape parameter.
+-   **x**: `[in] double` input value.
+-   **alpha**: `[in] double` shape parameter.
+-   **beta**: `[in] double` scale parameter.
 
 ```c
 double stdlib_base_dists_pareto_type1_logcdf( const double x, const double alpha, const double beta );
 ```
 
 </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/pareto-type1/logcdf.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 alpha;
     double beta;
     double x;
     double y;
     int i;
+
     for ( i = 0; i < 25; i++ ) {
-        alpha = random_uniform( 0, 10 ) + 3.0;
-        beta = random_uniform( 0, 10 );
-        x = random_uniform( 0, 10 );
+        x = random_uniform( 0.0, 8.0 );
+        alpha = random_uniform( 0.0, 5.0 );
+        beta = random_uniform( 0.0, 5.0 );
         y = stdlib_base_dists_pareto_type1_logcdf( x, alpha, beta );
-        printf( "x: %lf, α: %lf, β: %lf, logcdf(X,α,β): %lf\n", x, alpha, beta, y );
+        printf( "x: %lf, α: %lf, β: %lf, ln(F(x;α,β)): %lf\n", x, alpha, beta, y );
     }
 }
 ```

lib/node_modules/@stdlib/stats/base/dists/pareto-type1/logcdf/benchmark/benchmark.js

@@ -44,9 +44,9 @@ bench( pkg, function benchmark( b ) {
 	beta = new Float64Array( len );
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		alpha[ i ] = uniform( EPS, 100.0 );
-		beta[ i ] = uniform( 3.0 + EPS, 100.0 );
-		x[ i ] = uniform( EPS, 20.0 );
+		x[ i ] = uniform( 0.0, 8.0 );
+		alpha[ i ] = uniform( EPS, 10.0 );
+		beta[ i ] = uniform( EPS, 10.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/pareto-type1/logcdf/benchmark/benchmark.native.js

@@ -24,7 +24,7 @@ var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
-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 ) {
 	beta = new Float64Array( len );
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		x[ i ] = ( randu() * 1.0 );
-		alpha[ i ] = ( randu() * 10.0 ) + 3.0 + EPS;
-		beta[ i ] = ( randu() * 10.0 ) + EPS;
+		x[ i ] = uniform( 0.0, 8.0 );
+		alpha[ i ] = uniform( EPS, 10.0 );
+		beta[ i ] = uniform( EPS, 10.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/pareto-type1/logcdf/benchmark/c/benchmark.c

@@ -101,9 +101,9 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		x[ i ] = random_uniform( 0.0, 1.0 );
-		alpha[ i ] = random_uniform( 0.0, 10.0 ) + 3.0;
-		beta[ i ] = random_uniform( 0.0, 10.0 ) + 3.0;
+		x[ i ] = random_uniform( 0.0, 8.0 );
+		alpha[ i ] = random_uniform( 0.1, 5.0 );
+		beta[ i ] = random_uniform( 0.1, 5.0 );
 	}
 
 	t = tic();

lib/node_modules/@stdlib/stats/base/dists/pareto-type1/logcdf/examples/c/example.c

@@ -33,10 +33,10 @@ int main( void ) {
 	int i;
 
 	for ( i = 0; i < 25; i++ ) {
-		x = random_uniform( 0, 1 );
-		alpha = random_uniform( 0, 10 ) + 3.0;
-		beta = random_uniform( 0, 10 );
+		x = random_uniform( 0.0, 8.0 );
+		alpha = random_uniform( 0.0, 5.0 );
+		beta = random_uniform(  0.0, 5.0 );
 		y = stdlib_base_dists_pareto_type1_logcdf( x, alpha, beta );
-		printf( "x: %lf, α: %lf, β: %lf, logcdf(X;α,β): %lf\n", x, alpha, beta, y );
+		printf( "x: %lf, α: %lf, β: %lf, ln(F(x;α,β)): %lf\n", x, alpha, beta, y );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/pareto-type1/logcdf/include/stdlib/stats/base/dists/pareto-type1/logcdf.h

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-* Returns the logcdf of a Pareto (Type I) distribution.
+* Evaluates the logcdf of a Pareto (Type I) distribution.
 */
 double stdlib_base_dists_pareto_type1_logcdf( const double x, const double alpha, const double beta );
 

lib/node_modules/@stdlib/stats/base/dists/pareto-type1/logcdf/lib/native.js

@@ -28,6 +28,7 @@ var addon = require( './../src/addon.node' );
 /**
 * Evaluates the cumulative distribution function (CDF) for a Pareto (Type I) distribution with shape parameter `alpha` and scale parameter `beta` at a value `x`.
 *
+* @private
 * @param {number} x - input value
 * @param {PositiveNumber} alpha - shape parameter
 * @param {PositiveNumber} beta - scale parameter

lib/node_modules/@stdlib/stats/base/dists/pareto-type1/logcdf/src/main.c

@@ -28,50 +28,14 @@
 /**
 * Evaluates the cumulative distribution function (CDF) for a Pareto (Type I) distribution with shape parameter `alpha` and scale parameter `beta` at a value `x`.
 *
-* @param {number} x - input value
-* @param {PositiveNumber} alpha - shape parameter
-* @param {PositiveNumber} beta - scale parameter
-* @returns {number} evaluated logCDF
+* @param x     input value
+* @param alpha shape parameter
+* @param beta  scale parameter
+* @return      evaluated logCDF
 *
 * @example
 * double y = stdlib_base_dists_pareto_type1_logcdf( 2.0, 1.0, 1.0 );
 * // returns ~-0.693
-*
-* @example
-* double y = stdlib_base_dists_pareto_type1_logcdf( 5.0, 2.0, 4.0 );
-* // returns ~-1.022
-*
-* @example
-* double y = stdlib_base_dists_pareto_type1_logcdf( 4.0, 2.0, 2.0 );
-* // returns ~-0.288
-*
-* @example
-* double y = stdlib_base_dists_pareto_type1_logcdf( 1.9, 2.0, 2.0 );
-* // returns -Infinity
-*
-* @example
-* double y = stdlib_base_dists_pareto_type1_logcdf( +Infinity, 4.0, 2.0 );
-* // returns 0.0
-*
-* @example
-* double y = stdlib_base_dists_pareto_type1_logcdf( 2.0, -1.0, 0.5 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_pareto_type1_logcdf( 2.0, 0.5, -1.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_pareto_type1_logcdf( NaN, 1.0, 1.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_pareto_type1_logcdf( 0.0, NaN, 1.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_pareto_type1_logcdf( 0.0, 1.0, NaN );
-* // returns NaN
 */
 double stdlib_base_dists_pareto_type1_logcdf( const double x, const double alpha, const double beta ) {
 	if (