feat!: migrate stats/base/dnanmin to stats/strided/dnanmin

lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/d.js

@@ -130,7 +130,7 @@
 });
 
 ns.push({
 	'alias': 'base.strided.dasum',
 	'path': '@stdlib/blas/base/dasum',
 	'value': require( '@stdlib/blas/base/dasum' ),
 	'type': 'Function',
@@ -144,7 +144,7 @@
 });
 
 ns.push({
 	'alias': 'base.strided.dasumpw',
 	'path': '@stdlib/blas/ext/base/dasumpw',
 	'value': require( '@stdlib/blas/ext/base/dasumpw' ),
 	'type': 'Function',
@@ -172,7 +172,7 @@
 });
 
 ns.push({
 	'alias': 'base.strided.dcbrt',
 	'path': '@stdlib/math/strided/special/dcbrt',
 	'value': require( '@stdlib/math/strided/special/dcbrt' ),
 	'type': 'Function',
@@ -184,7 +184,7 @@
 });
 
 ns.push({
 	'alias': 'base.strided.dceil',
 	'path': '@stdlib/math/strided/special/dceil',
 	'value': require( '@stdlib/math/strided/special/dceil' ),
 	'type': 'Function',
@@ -243,7 +243,7 @@
 });
 
 ns.push({
 	'alias': 'base.strided.dcumin',
 	'path': '@stdlib/stats/base/dcumin',
 	'value': require( '@stdlib/stats/base/dcumin' ),
 	'type': 'Function',
@@ -257,7 +257,7 @@
 });
 
 ns.push({
 	'alias': 'base.strided.dcuminabs',
 	'path': '@stdlib/stats/strided/dcuminabs',
 	'value': require( '@stdlib/stats/strided/dcuminabs' ),
 	'type': 'Function',
@@ -271,7 +271,7 @@
 });
 
 ns.push({
 	'alias': 'base.strided.dcusum',
 	'path': '@stdlib/blas/ext/base/dcusum',
 	'value': require( '@stdlib/blas/ext/base/dcusum' ),
 	'type': 'Function',
@@ -284,7 +284,7 @@
 });
 
 ns.push({
 	'alias': 'base.strided.dcusumkbn',
 	'path': '@stdlib/blas/ext/base/dcusumkbn',
 	'value': require( '@stdlib/blas/ext/base/dcusumkbn' ),
 	'type': 'Function',
@@ -297,7 +297,7 @@
 });
 
 ns.push({
 	'alias': 'base.strided.dcusumkbn2',
 	'path': '@stdlib/blas/ext/base/dcusumkbn2',
 	'value': require( '@stdlib/blas/ext/base/dcusumkbn2' ),
 	'type': 'Function',
@@ -310,7 +310,7 @@
 });
 
 ns.push({
 	'alias': 'base.strided.dcusumors',
 	'path': '@stdlib/blas/ext/base/dcusumors',
 	'value': require( '@stdlib/blas/ext/base/dcusumors' ),
 	'type': 'Function',
@@ -697,7 +697,7 @@
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/strided/dmax',
-		'@stdlib/stats/base/dnanmin',
+		'@stdlib/stats/strided/dnanmin',
 		'@stdlib/stats/base/min',
 		'@stdlib/stats/base/smin'
 	]
@@ -882,7 +882,7 @@
 	'related': [
 		'@stdlib/stats/strided/dmin',
 		'@stdlib/stats/base/dmskmax',
-		'@stdlib/stats/base/dnanmin',
+		'@stdlib/stats/strided/dnanmin',
 		'@stdlib/stats/base/dnanmskmin',
 		'@stdlib/stats/base/mskmin',
 		'@stdlib/stats/base/smskmin'
@@ -997,7 +997,7 @@
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/strided/dmax',
-		'@stdlib/stats/base/dnanmin',
+		'@stdlib/stats/strided/dnanmin',
 		'@stdlib/stats/base/nanmax',
 		'@stdlib/stats/base/snanmax'
 	]
@@ -1083,8 +1083,8 @@
 
 ns.push({
 	'alias': 'base.strided.dnanmin',
-	'path': '@stdlib/stats/base/dnanmin',
-	'value': require( '@stdlib/stats/base/dnanmin' ),
+	'path': '@stdlib/stats/strided/dnanmin',
+	'value': require( '@stdlib/stats/strided/dnanmin' ),
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/strided/dmin',
@@ -1102,7 +1102,7 @@
 	'related': [
 		'@stdlib/stats/strided/dminabs',
 		'@stdlib/stats/strided/dnanmaxabs',
-		'@stdlib/stats/base/dnanmin',
+		'@stdlib/stats/strided/dnanmin',
 		'@stdlib/stats/base/nanminabs',
 		'@stdlib/stats/base/snanminabs'
 	]
@@ -1129,7 +1129,7 @@
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/base/dmskmin',
-		'@stdlib/stats/base/dnanmin',
+		'@stdlib/stats/strided/dnanmin',
 		'@stdlib/stats/base/dnanmskmax',
 		'@stdlib/stats/base/nanmskmin',
 		'@stdlib/stats/base/snanmskmin'
@@ -1235,7 +1235,7 @@
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/strided/dnanmax',
-		'@stdlib/stats/base/dnanmin',
+		'@stdlib/stats/strided/dnanmin',
 		'@stdlib/stats/base/drange',
 		'@stdlib/stats/base/nanrange',
 		'@stdlib/stats/base/snanrange'

lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/n.js

@@ -126,7 +126,7 @@ ns.push({
 	'value': require( '@stdlib/stats/base/nanmin' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dnanmin',
+		'@stdlib/stats/strided/dnanmin',
 		'@stdlib/stats/base/min',
 		'@stdlib/stats/base/nanmax',
 		'@stdlib/stats/base/snanmin'
@@ -153,7 +153,7 @@ ns.push({
 	'value': require( '@stdlib/stats/base/nanmin-by' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dnanmin',
+		'@stdlib/stats/strided/dnanmin',
 		'@stdlib/stats/base/min-by',
 		'@stdlib/stats/base/nanmax-by',
 		'@stdlib/stats/base/nanmin',

lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/s.js

@@ -1131,7 +1131,7 @@ ns.push({
 	'value': require( '@stdlib/stats/base/snanmin' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dnanmin',
+		'@stdlib/stats/strided/dnanmin',
 		'@stdlib/stats/base/nanmin',
 		'@stdlib/stats/base/smin',
 		'@stdlib/stats/base/snanmax'

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

@@ -74,7 +74,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`dnanmeanpn( N, x, strideX )`][@stdlib/stats/base/dnanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm.</span>
 -   <span class="signature">[`dnanmeanpw( N, x, strideX )`][@stdlib/stats/base/dnanmeanpw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using pairwise summation.</span>
 -   <span class="signature">[`dnanmeanwd( N, x, strideX )`][@stdlib/stats/base/dnanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring `NaN` values.</span>
--   <span class="signature">[`dnanmin( N, x, strideX )`][@stdlib/stats/base/dnanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array, ignoring `NaN` values.</span>
+-   <span class="signature">[`dnanmin( N, x, strideX )`][@stdlib/stats/strided/dnanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array, ignoring `NaN` values.</span>
 -   <span class="signature">[`dnanminabs( N, x, strideX )`][@stdlib/stats/base/dnanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a double-precision floating-point strided array, ignoring `NaN` values.</span>
 -   <span class="signature">[`dnanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dnanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
 -   <span class="signature">[`dnanmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dnanmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
@@ -335,7 +335,7 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/base/dnanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanwd
 
-[@stdlib/stats/base/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmin
+[@stdlib/stats/strided/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmin
 
 [@stdlib/stats/base/dnanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanminabs
 

lib/node_modules/@stdlib/stats/base/dmskmin/README.md

@@ -313,7 +313,7 @@ int main( void ) {
 
 -   <span class="package-name">[`@stdlib/stats/strided/dmin`][@stdlib/stats/strided/dmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array.</span>
 -   <span class="package-name">[`@stdlib/stats/base/dmskmax`][@stdlib/stats/base/dmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a double-precision floating-point strided array according to a mask.</span>
--   <span class="package-name">[`@stdlib/stats/base/dnanmin`][@stdlib/stats/base/dnanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values.</span>
+-   <span class="package-name">[`@stdlib/stats/strided/dnanmin`][@stdlib/stats/strided/dnanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/dnanmskmin`][@stdlib/stats/base/dnanmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array according to a mask, ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/mskmin`][@stdlib/stats/base/mskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array according to a mask.</span>
 -   <span class="package-name">[`@stdlib/stats/base/smskmin`][@stdlib/stats/base/smskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a single-precision floating-point strided array according to a mask.</span>
@@ -338,7 +338,7 @@ int main( void ) {
 
 [@stdlib/stats/base/dmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmskmax
 
-[@stdlib/stats/base/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmin
+[@stdlib/stats/strided/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmin
 
 [@stdlib/stats/base/dnanmskmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmskmin
 

lib/node_modules/@stdlib/stats/base/dnanminabs/README.md

@@ -282,7 +282,7 @@ int main( void ) {
 
 -   <span class="package-name">[`@stdlib/stats/strided/dminabs`][@stdlib/stats/strided/dminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a double-precision floating-point strided array.</span>
 -   <span class="package-name">[`@stdlib/stats/strided/dnanmaxabs`][@stdlib/stats/strided/dnanmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a double-precision floating-point strided array, ignoring NaN values.</span>
--   <span class="package-name">[`@stdlib/stats/base/dnanmin`][@stdlib/stats/base/dnanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values.</span>
+-   <span class="package-name">[`@stdlib/stats/strided/dnanmin`][@stdlib/stats/strided/dnanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/nanminabs`][@stdlib/stats/base/nanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a strided array, ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/snanminabs`][@stdlib/stats/base/snanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a single-precision floating-point strided array, ignoring NaN values.</span>
 
@@ -304,7 +304,7 @@ int main( void ) {
 
 [@stdlib/stats/strided/dnanmaxabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmaxabs
 
-[@stdlib/stats/base/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmin
+[@stdlib/stats/strided/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmin
 
 [@stdlib/stats/base/nanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanminabs
 

lib/node_modules/@stdlib/stats/base/dnanmskmin/README.md

@@ -195,7 +195,7 @@ console.log( v );
 ## See Also
 
 -   <span class="package-name">[`@stdlib/stats/base/dmskmin`][@stdlib/stats/base/dmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array according to a mask.</span>
--   <span class="package-name">[`@stdlib/stats/base/dnanmin`][@stdlib/stats/base/dnanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values.</span>
+-   <span class="package-name">[`@stdlib/stats/strided/dnanmin`][@stdlib/stats/strided/dnanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/dnanmskmax`][@stdlib/stats/base/dnanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a double-precision floating-point strided array according to a mask, ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/nanmskmin`][@stdlib/stats/base/nanmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array according to a mask, ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/snanmskmin`][@stdlib/stats/base/snanmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.</span>
@@ -218,7 +218,7 @@ console.log( v );
 
 [@stdlib/stats/base/dmskmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmskmin
 
-[@stdlib/stats/base/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmin
+[@stdlib/stats/strided/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmin
 
 [@stdlib/stats/base/dnanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmskmax
 

lib/node_modules/@stdlib/stats/base/dnanrange/README.md

@@ -283,7 +283,7 @@ int main( void ) {
 ## See Also
 
 -   <span class="package-name">[`@stdlib/stats/strided/dnanmax`][@stdlib/stats/strided/dnanmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a double-precision floating-point strided array, ignoring NaN values.</span>
--   <span class="package-name">[`@stdlib/stats/base/dnanmin`][@stdlib/stats/base/dnanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values.</span>
+-   <span class="package-name">[`@stdlib/stats/strided/dnanmin`][@stdlib/stats/strided/dnanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/drange`][@stdlib/stats/base/drange]</span><span class="delimiter">: </span><span class="description">calculate the range of a double-precision floating-point strided array.</span>
 -   <span class="package-name">[`@stdlib/stats/base/nanrange`][@stdlib/stats/base/nanrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array, ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/snanrange`][@stdlib/stats/base/snanrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a single-precision floating-point strided array, ignoring NaN values.</span>
@@ -306,7 +306,7 @@ int main( void ) {
 
 [@stdlib/stats/strided/dnanmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmax
 
-[@stdlib/stats/base/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmin
+[@stdlib/stats/strided/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmin
 
 [@stdlib/stats/base/drange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/drange
 

lib/node_modules/@stdlib/stats/base/docs/types/index.d.ts

@@ -38,7 +38,6 @@ import dmskrange = require( '@stdlib/stats/base/dmskrange' );
 import dnanmeanpn = require( '@stdlib/stats/base/dnanmeanpn' );
 import dnanmeanpw = require( '@stdlib/stats/base/dnanmeanpw' );
 import dnanmeanwd = require( '@stdlib/stats/base/dnanmeanwd' );
-import dnanmin = require( '@stdlib/stats/base/dnanmin' );
 import dnanminabs = require( '@stdlib/stats/base/dnanminabs' );
 import dnanmskmax = require( '@stdlib/stats/base/dnanmskmax' );
 import dnanmskmin = require( '@stdlib/stats/base/dnanmskmin' );
@@ -722,32 +721,6 @@ interface Namespace {
 	*/
 	dnanmeanwd: typeof dnanmeanwd;
 
-	/**
-	* Computes the minimum value of a double-precision floating-point strided array, ignoring `NaN` values.
-	*
-	* @param N - number of indexed elements
-	* @param x - input array
-	* @param strideX - stride length
-	* @returns minimum value
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-	*
-	* var v = ns.dnanmin( x.length, x, 1 );
-	* // returns -2.0
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-	*
-	* var v = ns.dnanmin.ndarray( x.length, x, 1, 0 );
-	* // returns -2.0
-	*/
-	dnanmin: typeof dnanmin;
-
 	/**
 	* Computes the minimum absolute value of a double-precision floating-point strided array, ignoring `NaN` values.
 	*

lib/node_modules/@stdlib/stats/base/lib/index.js

@@ -198,15 +198,6 @@ setReadOnly( ns, 'dnanmeanpw', require( '@stdlib/stats/base/dnanmeanpw' ) );
 */
 setReadOnly( ns, 'dnanmeanwd', require( '@stdlib/stats/base/dnanmeanwd' ) );
 
-/**
-* @name dnanmin
-* @memberof ns
-* @readonly
-* @type {Function}
-* @see {@link module:@stdlib/stats/base/dnanmin}
-*/
-setReadOnly( ns, 'dnanmin', require( '@stdlib/stats/base/dnanmin' ) );
-
 /**
 * @name dnanminabs
 * @memberof ns

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

@@ -48,7 +48,7 @@ var v = nanminBy( x.length, x, 1, accessor );
 The function has the following parameters:
 
 -   **N**: number of indexed elements.
--   **x**: input [`Array`][mdn-array], [`typed array`][mdn-typed-array], or an array-like object (excluding strings and functions). 
+-   **x**: input [`Array`][mdn-array], [`typed array`][mdn-typed-array], or an array-like object (excluding strings and functions).
 -   **stride**: index increment.
 -   **clbk**: callback function.
 -   **thisArg**: execution context (_optional_).
@@ -163,7 +163,7 @@ var v = nanminBy.ndarray( 3, x, 1, x.length-3, accessor );
 -   A provided callback function should return a numeric value.
 -   If a provided callback function returns `NaN`, the value is ignored.
 -   If a provided callback function does not return any value (or equivalently, explicitly returns `undefined`), the value is ignored.
--   When possible, prefer using [`dnanmin`][@stdlib/stats/base/dnanmin], [`snanmin`][@stdlib/stats/base/snanmin], and/or [`nanmin`][@stdlib/stats/base/nanmin], as, depending on the environment, these interfaces are likely to be significantly more performant.
+-   When possible, prefer using [`dnanmin`][@stdlib/stats/strided/dnanmin], [`snanmin`][@stdlib/stats/base/snanmin], and/or [`nanmin`][@stdlib/stats/base/nanmin], as, depending on the environment, these interfaces are likely to be significantly more performant.
 
 </section>
 
@@ -211,7 +211,7 @@ console.log( v );
 
 ## See Also
 
--   <span class="package-name">[`@stdlib/stats/base/dnanmin`][@stdlib/stats/base/dnanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values.</span>
+-   <span class="package-name">[`@stdlib/stats/strided/dnanmin`][@stdlib/stats/strided/dnanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/min-by`][@stdlib/stats/base/min-by]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array via a callback function.</span>
 -   <span class="package-name">[`@stdlib/stats/base/nanmax-by`][@stdlib/stats/base/nanmax-by]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array via a callback function, ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/nanmin`][@stdlib/stats/base/nanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array, ignoring NaN values.</span>
@@ -231,7 +231,7 @@ console.log( v );
 
 <!-- <related-links> -->
 
-[@stdlib/stats/base/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmin
+[@stdlib/stats/strided/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmin
 
 [@stdlib/stats/base/min-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/min-by