docs: fix string interpolation and missing JSDoc annotations

lib/node_modules/@stdlib/stats/base/dists/anglit/mean/README.md

@@ -116,7 +116,7 @@ var opts = {
 var mu = uniform( 10, -5.0, 5.0, opts );
 var sigma = uniform( 10, 0.1, 20.0, opts );
 
-logEachMap( 'µ: %lf, σ: %lf, E(X;µ,σ): %lf', mu, sigma, mean );
+logEachMap( 'µ: %0.4f, σ: %0.4f, E(X;µ,σ): %0.4f', mu, sigma, mean );
 ```
 
 </section>

lib/node_modules/@stdlib/stats/base/dists/anglit/mean/examples/index.js

@@ -28,4 +28,4 @@ var opts = {
 var mu = uniform( 10, -5.0, 5.0, opts );
 var sigma = uniform( 10, 0.1, 20.0, opts );
 
-logEachMap( 'µ: %lf, σ: %lf, E(X;µ,σ): %lf', mu, sigma, mean );
+logEachMap( 'µ: %0.4f, σ: %0.4f, E(X;µ,σ): %0.4f', mu, sigma, mean );

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

@@ -116,7 +116,7 @@ var opts = {
 var mu = uniform( 10, -5.0, 5.0, opts );
 var sigma = uniform( 10, 0.1, 20.0, opts );
 
-logEachMap( 'µ: %lf, σ: %lf, Median(X;µ,σ): %lf', mu, sigma, median );
+logEachMap( 'µ: %0.4f, σ: %0.4f, Median(X;µ,σ): %0.4f', mu, sigma, median );
 ```
 
 </section>

lib/node_modules/@stdlib/stats/base/dists/anglit/median/examples/index.js

@@ -28,4 +28,4 @@ var opts = {
 var mu = uniform( 10, -5.0, 5.0, opts );
 var sigma = uniform( 10, 0.1, 20.0, opts );
 
-logEachMap( 'µ: %lf, σ: %lf, Median(X;µ,σ): %lf', mu, sigma, median );
+logEachMap( 'µ: %0.4f, σ: %0.4f, Median(X;µ,σ): %0.4f', mu, sigma, median );

lib/node_modules/@stdlib/stats/base/dists/anglit/quantile/README.md

@@ -129,7 +129,7 @@ var p = uniform( 10, 0.0, 1.0, opts );
 var mu = uniform( 10, -5.0, 5.0, opts );
 var sigma = uniform( 10, 0.0, 5.0, opts );
 
-logEachMap( 'p: %lf, µ: %lf, σ: %lf, Q(p;µ,σ): %lf', p, mu, sigma, quantile );
+logEachMap( 'p: %0.4f, µ: %0.4f, σ: %0.4f, Q(p;µ,σ): %0.4f', p, mu, sigma, quantile );
 ```
 
 </section>

lib/node_modules/@stdlib/stats/base/dists/anglit/quantile/examples/index.js

@@ -29,4 +29,4 @@ var p = uniform( 10, 0.0, 1.0, opts );
 var mu = uniform( 10, -5.0, 5.0, opts );
 var sigma = uniform( 10, 0.0, 5.0, opts );
 
-logEachMap( 'p: %lf, µ: %lf, σ: %lf, Q(p;µ,σ): %lf', p, mu, sigma, quantile );
+logEachMap( 'p: %0.4f, µ: %0.4f, σ: %0.4f, Q(p;µ,σ): %0.4f', p, mu, sigma, quantile );

lib/node_modules/@stdlib/stats/base/dists/bradford/entropy/lib/native.js

@@ -28,6 +28,7 @@ var addon = require( './../src/addon.node' );
 /**
 * Returns the differential entropy of a Bradford distribution.
 *
+* @private
 * @param {PositiveNumber} c - shape parameter
 * @returns {number} differential entropy
 *

lib/node_modules/@stdlib/stats/base/dists/cosine/quantile/lib/native.js

@@ -28,6 +28,7 @@ var addon = require( './../src/addon.node' );
 /**
 * Evaluates the quantile function for a raised cosine distribution with location parameter `mu` and scale parameter `s` at a probability `p`.
 *
+* @private
 * @param {Probability} p - input value
 * @param {number} mu - location parameter
 * @param {NonNegativeNumber} s - scale parameter

lib/node_modules/@stdlib/stats/base/dists/gamma/pdf/lib/native.js

@@ -28,6 +28,7 @@ var addon = require( './../src/addon.node' );
 /**
 * Evaluates the probability density function (PDF) for a gamma distribution with shape parameter `alpha` and rate parameter `beta` at a value `x`.
 *
+* @private
 * @param {number} x - input value
 * @param {NonNegativeNumber} alpha - shape parameter
 * @param {PositiveNumber} beta - rate parameter

lib/node_modules/@stdlib/stats/base/dists/halfnormal/mean/README.md

@@ -117,7 +117,7 @@ var opts = {
 };
 var sigma = uniform( 10, 0.1, 20.0, opts );
 
-logEachMap( 'σ: %lf, E(X;σ): %lf', sigma, mean );
+logEachMap( 'σ: %0.4f, E(X;σ): %0.4f', sigma, mean );
 ```
 
 </section>

lib/node_modules/@stdlib/stats/base/dists/halfnormal/mean/examples/index.js

@@ -29,4 +29,4 @@ var opts = {
 // Generate positive scale parameters:
 var sigma = uniform( 10, 0.1, 20.0, opts );
 
-logEachMap( 'σ: %lf, E(X;σ): %lf', sigma, mean );
+logEachMap( 'σ: %0.4f, E(X;σ): %0.4f', sigma, mean );

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

@@ -28,14 +28,14 @@ limitations under the License.
 
 The [median][median] for a [Lévy][levy-distribution] random variable with location `μ` and scale `c > 0` is
 
-<!-- <equation class="equation" label="eq:levy_expectation" align="center" raw="\operatorname{Median}\left( X \right) = \mu + \frac{c}{2(\operatorname{erfcinv}(1/2))^2}" alt="Mode for a Lévy distribution."> -->
+<!-- <equation class="equation" label="eq:levy_median" align="center" raw="\operatorname{Median}\left( X \right) = \mu + \frac{c}{2(\operatorname{erfcinv}(1/2))^2}" alt="Median for a Lévy distribution."> -->
 
 ```math
 \mathop{\mathrm{Median}}\left( X \right) = \mu + \frac{c}{2(\mathop{\mathrm{erfcinv}}(1/2))^2}
 ```
 
-<!-- <div class="equation" align="center" data-raw-text="\operatorname{Median}\left( X \right) = \mu + \frac{c}{2(\operatorname{erfcinv}(1/2))^2}" data-equation="eq:levy_expectation">
-    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@51534079fef45e990850102147e8945fb023d1d0/lib/node_modules/@stdlib/stats/base/dists/levy/median/docs/img/equation_levy_expectation.svg" alt="Mode for a Lévy distribution.">
+<!-- <div class="equation" align="center" data-raw-text="\operatorname{Median}\left( X \right) = \mu + \frac{c}{2(\operatorname{erfcinv}(1/2))^2}" data-equation="eq:levy_median">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@51534079fef45e990850102147e8945fb023d1d0/lib/node_modules/@stdlib/stats/base/dists/levy/median/docs/img/equation_levy_median.svg" alt="Median for a Lévy distribution.">
     <br>
 </div> -->
 

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

@@ -28,14 +28,14 @@ limitations under the License.
 
 The [mode][mode] for a [Lévy][levy-distribution] random variable with location `μ` and scale `c > 0` is
 
-<!-- <equation class="equation" label="eq:levy_expectation" align="center" raw="\operatorname{mode}\left( X \right) = \mu + \frac{c}{3}" alt="Mode for a Lévy distribution."> -->
+<!-- <equation class="equation" label="eq:levy_mode" align="center" raw="\operatorname{mode}\left( X \right) = \mu + \frac{c}{3}" alt="Mode for a Lévy distribution."> -->
 
 ```math
 \mathop{\mathrm{mode}}\left( X \right) = \mu + \frac{c}{3}
 ```
 
-<!-- <div class="equation" align="center" data-raw-text="\operatorname{mode}\left( X \right) = \mu + \frac{c}{3}" data-equation="eq:levy_expectation">
-    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@51534079fef45e990850102147e8945fb023d1d0/lib/node_modules/@stdlib/stats/base/dists/levy/mode/docs/img/equation_levy_expectation.svg" alt="Mode for a Lévy distribution.">
+<!-- <div class="equation" align="center" data-raw-text="\operatorname{mode}\left( X \right) = \mu + \frac{c}{3}" data-equation="eq:levy_mode">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@51534079fef45e990850102147e8945fb023d1d0/lib/node_modules/@stdlib/stats/base/dists/levy/mode/docs/img/equation_levy_mode.svg" alt="Mode for a Lévy distribution.">
     <br>
 </div> -->
 

lib/node_modules/@stdlib/stats/base/dists/logistic/cdf/lib/native.js

@@ -28,6 +28,7 @@ var addon = require( './../src/addon.node' );
 /**
 * Evaluates the cumulative distribution function (CDF) for a logistic distribution with location parameter `mu` and scale parameter `s` at a value `x`.
 *
+* @private
 * @param {number} x - input value
 * @param {number} mu - location parameter
 * @param {NonNegativeNumber} s - scale parameter

lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/lib/native.js

@@ -28,6 +28,7 @@ var addon = require( './../src/addon.node' );
 /**
 * Evaluates the probability mass function (PMF) for a Poisson distribution with mean parameter `lambda` at a value `x`.
 *
+* @private
 * @param {number} x - input value
 * @param {NonNegativeNumber} lambda - mean parameter
 * @returns {Probability} evaluated PMF

lib/node_modules/@stdlib/stats/base/dists/signrank/pdf/lib/native.js

@@ -28,6 +28,7 @@ var addon = require( './../src/addon.node' );
 /**
 * Evaluates the probability density function (PDF) of the Wilcoxon signed rank test statistic with `n` observations.
 *
+* @private
 * @param {number} x - input value
 * @param {PositiveInteger} n - number of observations
 * @returns {Probability} evaluated PDF