Merge remote-tracking branch 'origin/develop' into develop

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Author: anandkaranubc

lib/node_modules/@stdlib/stats/base/dists/frechet/logcdf/README.md

@@ -201,7 +201,7 @@ for ( i = 0; i < 100; i++ ) {
 Evaluates the natural logarithm of the [cumulative distribution function][cdf] (CDF) for a [Fréchet][frechet-distribution] distribution with shape `alpha`, scale `s`, and location `m` at a value `x`.
 
 ```c
-double y = stdlib_base_frechet_logcdf( 10.0, 2.0, 3.0, 2.0 );
+double y = stdlib_base_dists_frechet_logcdf( 10.0, 2.0, 3.0, 2.0 );
 // returns ~-0.141
 ```
 

lib/node_modules/@stdlib/stats/base/dists/frechet/median/README.md

@@ -173,12 +173,12 @@ for ( i = 0; i < 10; i++ ) {
 #include "stdlib/stats/base/dists/frechet/median.h"
 ```
 
-#### sstdlib_base_dists_frechet_median( alpha, s, m )
+#### stdlib_base_dists_frechet_median( alpha, s, m )
 
 Returns the median for a Fréchet distribution with shape `alpha`, scale `s`, and location `m`.
 
 ```c
-double y = stdlib_base_frechet_median( 5.0, 2.0, 0.0 );
+double y = stdlib_base_dists_frechet_median( 5.0, 2.0, 0.0 );
 // returns ~2.152
 ```
 

lib/node_modules/@stdlib/stats/base/dists/frechet/mode/README.md

@@ -178,7 +178,7 @@ for ( i = 0; i < 10; i++ ) {
 Returns the mode for a Fréchet distribution with shape `alpha`, scale `s`, and location `m`.
 
 ```c
-double y = stdlib_base_frechet_mode( 5.0, 2.0, 0.0 );
+double y = stdlib_base_dists_frechet_mode( 5.0, 2.0, 0.0 );
 // returns ~1.928
 ```
 

lib/node_modules/@stdlib/stats/base/dists/frechet/skewness/README.md

@@ -187,7 +187,7 @@ for ( i = 0; i < 10; i++ ) {
 Returns the skewness for a Fréchet distribution with shape `alpha`, scale `s`, and location `m`.
 
 ```c
-double y = stdlib_base_frechet_skewness( 5.0, 2.0, 0.0 );
+double y = stdlib_base_dists_frechet_skewness( 5.0, 2.0, 0.0 );
 // returns ~3.535
 ```
 

lib/node_modules/@stdlib/stats/base/dists/frechet/variance/README.md

@@ -187,7 +187,7 @@ for ( i = 0; i < 10; i++ ) {
 Returns the variance for a Fréchet distribution with shape `alpha`, scale `s`, and location `m`.
 
 ```c
-double y = stdlib_base_frechet_variance( 5.0, 2.0, 0.0 );
+double y = stdlib_base_dists_frechet_variance( 5.0, 2.0, 0.0 );
 // returns ~0.535
 ```
 

lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/benchmark/c/benchmark.c

@@ -93,8 +93,8 @@ static double random_uniform( const double min, const double max ) {
 */
 static double benchmark( void ) {
 	double elapsed;
-    double a[ 100 ];
-    double b[ 100 ];
+	double a[ 100 ];
+	double b[ 100 ];
 	double y;
 	double t;
 	int i;

lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/examples/c/example.c

@@ -29,12 +29,12 @@ int main( void ) {
 	double mean;
 	double a;
 	double b;
-    int i;
+	int i;
 
 	for ( i = 0; i < 10; i++ ) {
 		a = random_uniform( 0.0, 10.0 );
-        b = random_uniform( 0.0, 10.0 );
-        mean = stdlib_base_dists_kumaraswamy_mean( a, b );
+		b = random_uniform( 0.0, 10.0 );
+		mean = stdlib_base_dists_kumaraswamy_mean( a, b );
 		printf( "a: %.4f, b: %.4f, E(X;a,b): %.4f\n", a, b, mean );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/src/main.c

@@ -23,8 +23,8 @@
 /**
 * Returns the expected value of a Kumaraswamy's double bounded distribution.
 *
-* @param a  first shape parameter 
-* @param b  second shape parameter 
+* @param a  first shape parameter
+* @param b  second shape parameter
 * @return   expected value
 *
 * @example
@@ -36,7 +36,7 @@ double stdlib_base_dists_kumaraswamy_mean( const double a, const double b ) {
 		stdlib_base_is_nan( a ) ||
 		stdlib_base_is_nan( b ) ||
 		a <= 0.0 ||
-        b <= 0.0
+		b <= 0.0
 	) {
 		return 0.0/0.0; // NaN
 	}

lib/node_modules/@stdlib/stats/base/dists/levy/cdf/README.md

@@ -170,7 +170,7 @@ for ( i = 0; i < 100; i++ ) {
 Evaluates the [cumulative distribution function][cdf] (CDF) for a [Lévy][levy-distribution] distribution with parameters `mu` (location parameter) and `c > 0` (scale parameter).
 
 ```c
-double out = stdlib_base_levy_cdf( 2.0, 0.0, 1.0 );
+double out = stdlib_base_dists_levy_cdf( 2.0, 0.0, 1.0 );
 // returns ~0.48
 ```
 

lib/node_modules/@stdlib/stats/base/dists/lognormal/mode/README.md

@@ -134,13 +134,100 @@ for ( i = 0; i < 10; i++ ) {
 
 <!-- /.examples -->
 
-<!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+<!-- C interface documentation. -->
 
-<section class="references">
+* * *
+
+<section class="c">
+
+## C APIs
+
+<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<!-- C usage documentation. -->
+
+<section class="usage">
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dists/lognormal/mode.h"
+```
+
+#### stdlib_base_dists_lognormal_mode( mu, sigma )
+
+Returns the mode for a lognormal distribution with location `mu` and scale `sigma`.
+
+```c
+double out = stdlib_base_dists_lognormal_mode( 0.0, 1.0 );
+// returns ~0.368
+```
+
+The function accepts the following arguments:
+
+-   **mu**: `[in] double` location parameter.
+-   **sigma**: `[in] double` scale parameter.
+
+```c
+double stdlib_base_dists_lognormal_mode( const double mu, const double sigma );
+```
+
+</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/lognormal/mode.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 sigma;
+    double mu;
+    double y;
+    int i;
+
+    for ( i = 0; i < 10; i++ ) {
+        mu = random_uniform( -5.0, 5.0 );
+        sigma = random_uniform( 0.1, 20.0 );
+        y = stdlib_base_dists_lognormal_mode( mu, sigma );
+        printf( "µ: %.4f, σ: %.4f, Mode(X;µ,σ): %.4f\n", mu, sigma, y );
+    }
+}
+```
+
+</section>
+
+<!-- /.examples -->
 
 </section>
 
-<!-- /.references -->
+<!-- /.c -->
 
 <!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->