diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/epsilon-insensitive-gradient/README.md b/lib/node_modules/@stdlib/ml/base/loss/float64/epsilon-insensitive-gradient/README.md
index 4edbe67e3311..f22b5f60fce5 100644
--- a/lib/node_modules/@stdlib/ml/base/loss/float64/epsilon-insensitive-gradient/README.md
+++ b/lib/node_modules/@stdlib/ml/base/loss/float64/epsilon-insensitive-gradient/README.md
@@ -72,7 +72,7 @@ The function accepts the following arguments:
 -   **x**: input value.
 -   **e**: insensitivity parameter.
 -   **y**: true target value.
--   **p**: predicted value. 
+-   **p**: predicted value.
 
 If any argument is `NaN`, the function returns `NaN`.
 
diff --git a/lib/node_modules/@stdlib/os/platform/README.md b/lib/node_modules/@stdlib/os/platform/README.md
index 5324c55af235..b6760bed6dfe 100644
--- a/lib/node_modules/@stdlib/os/platform/README.md
+++ b/lib/node_modules/@stdlib/os/platform/README.md
@@ -49,10 +49,12 @@ console.log( PLATFORM );
 
 -   The following values are possible:
 
+    -   `'aix'`
     -   `'win32'`
     -   `'darwin'`
     -   `'linux'`
     -   `'freebsd'`
+    -   `'openbsd'`
     -   `'sunos'`
 
 </section>
diff --git a/lib/node_modules/@stdlib/stats/base/dists/anglit/mode/README.md b/lib/node_modules/@stdlib/stats/base/dists/anglit/mode/README.md
index 68f53371c1b1..a2d7fa5e8196 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/anglit/mode/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/anglit/mode/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, mode(X;µ,σ): %lf', mu, sigma, mode );
+logEachMap( 'μ: %lf, σ: %lf, mode(X;μ,σ): %lf', mu, sigma, mode );
 ```
 
 </section>
@@ -205,7 +205,7 @@ int main( void ) {
         mu = random_uniform( -5.0, 5.0 );
         sigma = random_uniform( 0.1, 20.0 );
         y = stdlib_base_dists_anglit_mode( mu, sigma );
-        printf( "µ: %lf, σ: %lf, mode(X;µ,σ): %lf\n", mu, sigma, y );
+        printf( "μ: %lf, σ: %lf, mode(X;μ,σ): %lf\n", mu, sigma, y );
     }
 }
 ```
diff --git a/lib/node_modules/@stdlib/stats/base/dists/anglit/mode/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/anglit/mode/examples/c/example.c
index e7f5b061a7a0..505e4fe116d6 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/anglit/mode/examples/c/example.c
+++ b/lib/node_modules/@stdlib/stats/base/dists/anglit/mode/examples/c/example.c
@@ -35,6 +35,6 @@ int main( void ) {
 		mu = random_uniform( -5.0, 5.0 );
 		sigma = random_uniform( 0.1, 20.0 );
 		y = stdlib_base_dists_anglit_mode( mu, sigma );
-		printf( "µ: %lf, σ: %lf, mode(X;µ,σ): %lf\n", mu, sigma, y );
+		printf( "μ: %lf, σ: %lf, mode(X;μ,σ): %lf\n", mu, sigma, y );
 	}
 }
diff --git a/lib/node_modules/@stdlib/stats/base/dists/anglit/mode/examples/index.js b/lib/node_modules/@stdlib/stats/base/dists/anglit/mode/examples/index.js
index 3b7d1b5e9cb1..1f4024298f2a 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/anglit/mode/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/anglit/mode/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, mode(X;µ,σ): %lf', mu, sigma, mode );
+logEachMap( 'μ: %lf, σ: %lf, mode(X;μ,σ): %lf', mu, sigma, mode );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/anglit/mode/lib/index.js b/lib/node_modules/@stdlib/stats/base/dists/anglit/mode/lib/index.js
index 64c4bfc3fb76..48f99f7156ea 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/anglit/mode/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/anglit/mode/lib/index.js
@@ -35,9 +35,9 @@
 
 // MODULES //
 
-var mode = require( './main.js' );
+var main = require( './main.js' );
 
 
 // EXPORTS //
 
-module.exports = mode;
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/incr/nanmhmean/README.md b/lib/node_modules/@stdlib/stats/incr/nanmhmean/README.md
index 8d55b291fe43..13da6596c548 100644
--- a/lib/node_modules/@stdlib/stats/incr/nanmhmean/README.md
+++ b/lib/node_modules/@stdlib/stats/incr/nanmhmean/README.md
@@ -61,7 +61,7 @@ var accumulator = incrnanmhmean( 3 );
 
 #### accumulator( \[x] )
 
-If provided an input value `x`, the accumulator function returns an updated [harmonic mean][harmonic-mean], ignoring `NaN` values. If not provided an input value `x`, the accumulator function returns the current [harmonic-mean][harmonic-mean].
+If provided an input value `x`, the accumulator function returns an updated [harmonic mean][harmonic-mean], ignoring `NaN` values. If not provided an input value `x`, the accumulator function returns the current [harmonic mean][harmonic-mean].
 
 ```javascript
 var accumulator = incrnanmhmean( 3 );