diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/README.md b/lib/node_modules/@stdlib/stats/base/dists/lognormal/README.md
index 666139c87a59..70ae5314420b 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/README.md
@@ -36,7 +36,22 @@ Lognormal distribution.
 
 ```javascript
 var dist = lognormal;
-// returns {...}
+// returns {
+//    cdf: [Function: cdf],
+//    LogNormal: [Function: LogNormal],
+//    entropy: [Function: entropy],
+//    kurtosis: [Function: kurtosis],
+//    logcdf: [Function: logcdf],
+//    logpdf: [Function: logpdf],
+//    mean: [Function: mean],
+//    median: [Function: median],
+//    mode: [Function: mode],
+//    pdf: [Function: pdf],
+//    quantile: [Function: quantile],
+//    skewness: [Function: skewness],
+//    stdev: [Function: stdev],
+//    variance: [Function: variance]
+// }
 ```
 
 The namespace contains the following distribution functions:
@@ -87,19 +102,14 @@ The namespace contains a constructor function for creating a [lognormal][lognorm
 <!-- </toc> -->
 
 ```javascript
-var LogNormal = require( '@stdlib/stats/base/dists/lognormal' ).LogNormal;
-
-var dist = new LogNormal( 2.0, 4.0 );
 
-var y = dist.cdf( 0.5 );
-// returns ~0.25
 ```
 
 </section>
 
 <!-- /.usage -->
 
-<section class="examples">
+`<section class="examples">
 
 ## Examples
 
@@ -110,8 +120,83 @@ var y = dist.cdf( 0.5 );
 ```javascript
 var objectKeys = require( '@stdlib/utils/keys' );
 var lognormal = require( '@stdlib/stats/base/dists/lognormal' );
+var LogNormal = require( '@stdlib/stats/base/dists/lognormal' ).LogNormal;
+var Cdf = require('@stdlib/stats/base/dists/lognormal').cdf
+var Pdf = require('@stdlib/stats/base/dists/lognormal').pdf
+var Mean = require('@stdlib/stats/base/dists/lognormal').mean
+var Median = require('@stdlib/stats/base/dists/lognormal').median
+var Mode = require('@stdlib/stats/base/dists/lognormal').mode
+var Entropy = require('@stdlib/stats/base/dists/lognormal').entropy
+var Kurtosis = require('@stdlib/stats/base/dists/lognormal').kurtosis
+var LogCdf = require('@stdlib/stats/base/dists/lognormal').logcdf
+var LogPdf = require('@stdlib/stats/base/dists/lognormal').logpdf
+var Quantile = require('@stdlib/stats/base/dists/lognormal').quantile
+var Skewness = require('@stdlib/stats/base/dists/lognormal').skewness
+var Stdev = require('@stdlib/stats/base/dists/lognormal').stdev
+var Variance = require('@stdlib/stats/base/dists/lognormal').variance
 
 console.log( objectKeys( lognormal ) );
+
+
+
+// Create a Lognormal distribution with parameters mu = 2.0 and sigma = 4.0
+var lognormal = lognormal(2.0, 4.0);
+// returns ~0.25
+
+// Calculate the cumulative distribution function (CDF) at x = 0.5
+var cdf = Cdf(0.5, 2.0, 4.0);
+// returns ~0.25039
+
+// Calculate the probability density function (PDF) at x = 0.5
+var pdf = Pdf(0.5, 2.0, 4.0);
+// returns ~0.16
+
+// Calculate the mean of the distribution
+var mean = Mean(2.0, 4.0);
+// returns ~22026.46
+
+// Calculate the median of the distribution
+var median = Median(2.0, 4.0);
+// returns ~7.39
+
+// Calculate the mode of the distribution
+var mode = Mode(2.0, 4.0);
+// returns ~8.316e-7
+
+// Calculate the entropy of the distribution
+var entropy = Entropy(2.0, 4.0);
+// returns ~4.9
+
+// Calculate the excess kurtosis of the distribution
+var kurtosis = Kurtosis(2.0, 4.0);
+// returns ~6.236+27
+
+// Calculate the natural logarithm of the cumulative distribution function (CDF) at x = 0.5
+var logcdf = LogCdf(0.5, 2.0, 4.0);
+// returns ~-1.39
+
+// Calculate the natural logarithm of the probability density function (PDF) at x = 0.5
+var logpdf = LogPdf(0.5, 2.0, 4.0);
+// returns ~-1.9
+
+// Calculate the quantile function at p = 0.5
+var quantile = Quantile(0.5, 2.0, 4.0);
+// returns ~-7.39
+
+// Calculate the skewness of the distribution
+var skewness = Skewness(2.0, 4.0);
+// returns ~26489126601.3
+
+// Calculate the standard deviation of the distribution
+var stdev = Stdev(2.0, 4.0);
+// returns ~65659965.443
+
+// Calculate the variance of the distribution
+var variance = Variance(2.0, 4.0);
+// returns ~4311231061950000.0
+
+
+
 ```
 
 </section>
@@ -166,4 +251,6 @@ console.log( objectKeys( lognormal ) );
 
 </section>
 
+
+
 <!-- /.links -->
diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/main.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/main.js
new file mode 100644
index 000000000000..d44c77de85bd
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/main.js
@@ -0,0 +1,70 @@
+var LogNormal = require( '@stdlib/stats/base/dists/lognormal' ).LogNormal;
+var Cdf = require('@stdlib/stats/base/dists/lognormal').cdf
+var Pdf = require('@stdlib/stats/base/dists/lognormal').pdf
+var Mean = require('@stdlib/stats/base/dists/lognormal').mean
+var Median = require('@stdlib/stats/base/dists/lognormal').median
+var Mode = require('@stdlib/stats/base/dists/lognormal').mode
+var Entropy = require('@stdlib/stats/base/dists/lognormal').entropy
+var Kurtosis = require('@stdlib/stats/base/dists/lognormal').kurtosis
+var LogCdf = require('@stdlib/stats/base/dists/lognormal').logcdf
+var LogPdf = require('@stdlib/stats/base/dists/lognormal').logpdf
+var Quantile = require('@stdlib/stats/base/dists/lognormal').quantile
+var Skewness = require('@stdlib/stats/base/dists/lognormal').skewness
+var Stdev = require('@stdlib/stats/base/dists/lognormal').stdev
+var Variance = require('@stdlib/stats/base/dists/lognormal').variance
+
+
+// Create a Lognormal distribution with parameters mu = 2.0 and sigma = 4.0
+var dist = new LogNormal(2.0, 4.0);
+
+// Calculate the cumulative distribution function (CDF) at x = 0.5
+var cdfValue = Cdf(0.5, 2.0, 4.0);
+console.log('CDF at x = 0.5:', cdfValue);
+
+// Calculate the probability density function (PDF) at x = 0.5
+var pdfValue = Pdf(0.5, 2.0, 4.0);
+console.log('PDF at x = 0.5:', pdfValue);
+
+// Calculate the mean of the distribution
+var meanValue = Mean(2.0, 4.0);
+console.log('Mean:', meanValue);
+
+// Calculate the median of the distribution
+var medianValue = Median(2.0, 4.0);
+console.log('Median:', medianValue);
+
+// Calculate the mode of the distribution
+var modeValue = Mode(2.0, 4.0);
+console.log('Mode:', modeValue);
+
+// Calculate the entropy of the distribution
+var entropyValue = Entropy(2.0, 4.0);
+console.log('Entropy:', entropyValue);
+
+// Calculate the excess kurtosis of the distribution
+var kurtosisValue = Kurtosis(2.0, 4.0);
+console.log('Excess Kurtosis:', kurtosisValue);
+
+// Calculate the natural logarithm of the cumulative distribution function (CDF) at x = 0.5
+var logcdfValue = LogCdf(0.5, 2.0, 4.0);
+console.log('LogCDF at x = 0.5:', logcdfValue);
+
+// Calculate the natural logarithm of the probability density function (PDF) at x = 0.5
+var logpdfValue = LogPdf(0.5, 2.0, 4.0);
+console.log('LogPDF at x = 0.5:', logpdfValue);
+
+// Calculate the quantile function at p = 0.5
+var quantileValue = Quantile(0.5, 2.0, 4.0);
+console.log('Quantile at p = 0.5:', quantileValue);
+
+// Calculate the skewness of the distribution
+var skewnessValue = Skewness(2.0, 4.0);
+console.log('Skewness:', skewnessValue);
+
+// Calculate the standard deviation of the distribution
+var stdevValue = Stdev(2.0, 4.0);
+console.log('Standard Deviation:', stdevValue);
+
+// Calculate the variance of the distribution
+var varianceValue = Variance(2.0, 4.0);
+console.log('Variance:', varianceValue);