chore: apply suggestions from code review

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

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/negative-binomial/mode/README.md

@@ -170,14 +170,14 @@ for ( i = 0; i < 10; i++ ) {
 Returns the mode of a negative binomial distribution.
 
 ```c
- double y = stdlib_base_negative_binomial_mode( 100.0, 0.2 );
+ double y = stdlib_base_dists_negative_binomial_mode( 100.0, 0.2 );
 // returns 396.0
 ```
 
 The function accepts the following arguments:
 
--   **r**: `[in] double` number of failures until experiment is stopped .
--   **p**: `[in] double` success probability .
+-   **r**: `[in] double` number of failures until experiment is stopped.
+-   **p**: `[in] double` success probability.
 
 ```c
 double stdlib_base_dists_negative_binomial_mode( const double r, const double p );
@@ -218,10 +218,10 @@ int main( void ) {
    int i;
 
    for ( i = 0; i < 10; i++ ) {
-       r = random_uniform(1.0, 100.0); 
-       p = random_uniform(0.01, 0.99);
+       r = random_uniform( 1.0, 100.0 ); 
+       p = random_uniform( 0.01, 0.99 );
        y = stdlib_base_dists_negative_binomial_mode( r, p );
-       printf("r: %f, p: %.4f, mode(X; r, p): %.4f\n", r, p, y);
+       printf( "r: %f, p: %.4f, mode(X;r,p): %.4f\n", r, p, y );
    }
 }
 ```

lib/node_modules/@stdlib/stats/base/dists/negative-binomial/mode/benchmark/benchmark.native.js

@@ -23,8 +23,8 @@
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
-var ceil = require( '@stdlib/math/base/special/ceil' );
-var randu = require( '@stdlib/random/base/randu' );
+var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var EPS = require( '@stdlib/constants/float64/eps' );
@@ -52,8 +52,8 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	r = new Float64Array( len );
 	p = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		r[ i ] = ceil( randu() * 100.0 );
-		p[ i ] = ( randu() * 1.0 ) + EPS;
+		r[ i ] = discreteUniform( 1, 100 );
+		p[ i ] = uniform( EPS, 1.0 );
 	}
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {

lib/node_modules/@stdlib/stats/base/dists/negative-binomial/mode/examples/c/example.c

@@ -32,9 +32,9 @@ int main( void ) {
 	int i;
 
 	for ( i = 0; i < 10; i++ ) {
-		r = random_uniform(1.0, 100.0); 
-		p = random_uniform(0.01, 0.99);
+		r = random_uniform( 1.0, 100.0 ); 
+		p = random_uniform( 0.01, 0.99 );
 		y = stdlib_base_dists_negative_binomial_mode( r, p );
-		printf("r: %f, p: %.4f, mode(X; r, p): %.4f\n", r, p, y);
+		printf( "r: %f, p: %.4f, mode(X;r,p): %.4f\n", r, p, y );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/negative-binomial/mode/src/main.c

@@ -23,9 +23,10 @@
 /**
 * Returns the mode of a negative binomial distribution.
 *
-* @param r number of failures until experiment is stopped
-* @param p success probability
-* @return mode
+* @param r   number of failures until experiment is stopped
+* @param p   success probability
+* @return    mode
+*
 * @example
 * double v = stdlib_base_dists_negative_binomial_mode( 100.0, 0.2 );
 * // returns 396.0
@@ -35,8 +36,8 @@ double stdlib_base_dists_negative_binomial_mode( const double r, const double p
 		stdlib_base_is_nan( r ) ||
 		stdlib_base_is_nan( p ) ||
 		r <= 0.0 ||
-        p < 0.0 ||
-        p > 1.0
+		p < 0.0 ||
+		p > 1.0
 	) {
 		return 0.0 / 0.0; // NaN
 	}