chore: apply suggestions from code review

Signed-off-by: Philipp Burckhardt <[email protected]>

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/cauchy/logpdf/README.md

@@ -174,7 +174,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_cauchy_logpdf( x, x0, gamma )
 
-Evaluates the logarithm of the probability density function (logPDF) for a Cauchy distribution
+Evaluates the natural logarithm of the [probability density function][pdf] (PDF) for a [Cauchy][cauchy-distribution] distribution with parameters `x0` (location parameter) and `gamma > 0` (scale parameter).
 
 ```c
 double out = stdlib_base_dists_cauchy_logpdf( 0.5, 0.0, 2.0 );
@@ -230,7 +230,7 @@ int main( void ) {
     for ( i = 0; i < 25; i++ ) {
         x = random_uniform( 0.0, 10.0 );
         x0 = random_uniform( -5.0, 5.0 );
-        gamma = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+        gamma = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
         y = stdlib_base_dists_cauchy_logpdf( x, x0, gamma );
         printf( "x: %lf, x0: %lf, γ: %lf, ln(f(x;x0,γ)): %lf\n", x, x0, gamma, y );
     }

lib/node_modules/@stdlib/stats/base/dists/cauchy/logpdf/benchmark/benchmark.native.js

@@ -53,9 +53,9 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	x0 = new Float64Array( len );
 	gamma = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( -100, 100 );
-		x0[ i ] = uniform( -50, 50 );
-		gamma[ i ] = uniform( EPS, 20 );
+		x[ i ] = uniform( -100.0, 100.0 );
+		x0[ i ] = uniform( -50.0, 50.0 );
+		gamma[ i ] = uniform( EPS, 20.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/cauchy/logpdf/examples/c/example.c

@@ -36,7 +36,7 @@ int main( void ) {
 	for ( i = 0; i < 25; i++ ) {
 		x = random_uniform( 0.0, 10.0 );
 		x0 = random_uniform( -5.0, 5.0 );
-		gamma = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		gamma = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 		y = stdlib_base_dists_cauchy_logpdf( x, x0, gamma );
 		printf( "x: %lf, x0: %lf, γ: %lf, ln(f(x;x0,γ)): %lf\n", x, x0, gamma, y );
 	}

lib/node_modules/@stdlib/stats/base/dists/cauchy/logpdf/src/main.c

@@ -23,17 +23,16 @@
 #include "stdlib/math/base/special/pow.h"
 #include "stdlib/constants/float64/ln_pi.h"
 
-
 /**
 * Evaluates the natural logarithm of the probability density function (logPDF) for a Cauchy distribution with location parameter `x0` and scale parameter `gamma` at a value `x`.
 *
 * @param x         input value
 * @param x0    	   location parameter
 * @param gamma     scale parameter
-* @return          evaluated LOGPDF
+* @return          evaluated logPDF
 *
 * @example
-* double y = stdlib_base_weibull_logpdf( 2.0, 1.0, 1.0 );
+* double y = stdlib_base_dists_cauchy_logpdf( 2.0, 1.0, 1.0 );
 * // returns ~-1.838
 */
 double stdlib_base_dists_cauchy_logpdf( const double x, const double x0, const double gamma ) {