docs: minor clean-up

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: passed
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: passed
  - task: lint_javascript_src
    status: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: na
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/ndarray/dmskrange/README.md

@@ -20,7 +20,7 @@ limitations under the License.
 
 # dmskrange
 
-> Calculate the [range][range] of one-dimensional double-precision floating-point ndarray according to a mask.
+> Calculate the [range][range] of a one-dimensional double-precision floating-point ndarray according to a mask.
 
 <section class="intro">
 

lib/node_modules/@stdlib/stats/base/ndarray/nanmskmax/README.md

@@ -20,7 +20,7 @@ limitations under the License.
 
 # nanmskmax
 
-> Calculate the maximum value of a one-dimensional ndarray according to a mask, ignoring NaN values.
+> Calculate the maximum value of a one-dimensional ndarray according to a mask, ignoring `NaN` values.
 
 <section class="intro">
 

lib/node_modules/@stdlib/stats/base/ndarray/smskrange/README.md

@@ -88,7 +88,7 @@ var uniform = require( '@stdlib/random/array/uniform' );
 var bernoulli = require( '@stdlib/random/array/bernoulli' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
-var mskrange = require( '@stdlib/stats/base/ndarray/mskrange' );
+var smskrange = require( '@stdlib/stats/base/ndarray/smskrange' );
 
 var xbuf = uniform( 10, -50.0, 50.0, {
     'dtype': 'float32'
@@ -102,7 +102,7 @@ var maskbuf = bernoulli( xbuf.length, 0.2, {
 var mask = new ndarray( 'uint8', maskbuf, [ maskbuf.length ], [ 1 ], 0, 'row-major' );
 console.log( ndarray2array( mask ) );
 
-var v = mskrange( [ x, mask ] );
+var v = smskrange( [ x, mask ] );
 console.log( v );
 ```
 

lib/node_modules/@stdlib/stats/base/ndarray/snanmskmax/docs/repl.txt

@@ -1,7 +1,7 @@
 
 {{alias}}( arrays )
     Computes the maximum value of a one-dimensional single-precision floating-
-    point ndarray according to a mask.
+    point ndarray according to a mask, ignoring `NaN` values.
 
     If provided an empty ndarray or a mask with all elements set to `1`, the
     function returns `NaN`.

lib/node_modules/@stdlib/stats/nanmin-by/README.md

@@ -60,7 +60,7 @@ The function has the following parameters:
 The invoked callback is provided three arguments:
 
 -   **value**: current array element.
--   **idx**: current array element index.
+-   **index**: current array element index.
 -   **array**: input ndarray.
 
 To set the callback execution context, provide a `thisArg`.