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refactor: update paths
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‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/d.js‎

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@@ -1138,8 +1138,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.dnanmskrange',
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'path': '@stdlib/stats/base/dnanmskrange',
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'value': require( '@stdlib/stats/base/dnanmskrange' ),
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'path': '@stdlib/stats/strided/dnanmskrange',
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'value': require( '@stdlib/stats/strided/dnanmskrange' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dmskrange',

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

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@@ -195,7 +195,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/nanmskrange' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dnanmskrange',
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'@stdlib/stats/strided/dnanmskrange',
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'@stdlib/stats/base/mskrange',
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'@stdlib/stats/base/nanrange',
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'@stdlib/stats/base/nanmskmax',

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

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@@ -1186,7 +1186,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/snanmskrange' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dnanmskrange',
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'@stdlib/stats/strided/dnanmskrange',
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'@stdlib/stats/base/nanmskrange',
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'@stdlib/stats/strided/smskrange',
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'@stdlib/stats/strided/snanrange',

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

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@@ -67,7 +67,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`dmeanvarpn( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanvarpn]</span><span class="delimiter">: </span><span class="description">calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.</span>
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- <span class="signature">[`dnanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/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>
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- <span class="signature">[`dnanmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/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>
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- <span class="signature">[`dnanmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dnanmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
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- <span class="signature">[`dnanmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dnanmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
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- <span class="signature">[`dnanstdev( N, correction, x, strideX )`][@stdlib/stats/base/dnanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array ignoring `NaN` values.</span>
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- <span class="signature">[`dsem( N, correction, x, strideX )`][@stdlib/stats/base/dsem]</span><span class="delimiter">: </span><span class="description">calculate the standard error of the mean of a double-precision floating-point strided array.</span>
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- <span class="signature">[`dsempn( N, correction, x, strideX )`][@stdlib/stats/base/dsempn]</span><span class="delimiter">: </span><span class="description">calculate the standard error of the mean of a double-precision floating-point strided array using a two-pass algorithm.</span>
@@ -233,7 +233,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/strided/dnanmskmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmskmin
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[@stdlib/stats/base/dnanmskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmskrange
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[@stdlib/stats/strided/dnanmskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmskrange
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[@stdlib/stats/base/dnanstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanstdev
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‎lib/node_modules/@stdlib/stats/base/nanmskrange/README.md‎

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@@ -123,7 +123,7 @@ var v = nanmskrange.ndarray( 4, x, 2, 1, mask, 2, 1 );
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- If `N <= 0`, both functions return `NaN`.
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- Both functions support array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).
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- Depending on the environment, the typed versions ([`dnanmskrange`][@stdlib/stats/base/dnanmskrange], [`snanmskrange`][@stdlib/stats/base/snanmskrange], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dnanmskrange`][@stdlib/stats/strided/dnanmskrange], [`snanmskrange`][@stdlib/stats/base/snanmskrange], etc.) are likely to be significantly more performant.
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</section>
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@@ -166,7 +166,7 @@ console.log( v );
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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dnanmskrange`][@stdlib/stats/base/dnanmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a double-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dnanmskrange`][@stdlib/stats/strided/dnanmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a double-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/mskrange`][@stdlib/stats/base/mskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array according to a mask.</span>
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- <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>
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- <span class="package-name">[`@stdlib/stats/base/nanmskmax`][@stdlib/stats/base/nanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array according to a mask, ignoring NaN values.</span>
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<!-- <related-links> -->
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[@stdlib/stats/base/dnanmskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmskrange
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[@stdlib/stats/strided/dnanmskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmskrange
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[@stdlib/stats/base/mskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/mskrange
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‎lib/node_modules/@stdlib/stats/base/snanmskrange/README.md‎

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@@ -196,7 +196,7 @@ console.log( v );
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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dnanmskrange`][@stdlib/stats/base/dnanmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a double-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dnanmskrange`][@stdlib/stats/strided/dnanmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a double-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/nanmskrange`][@stdlib/stats/base/nanmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array according to a mask, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/smskrange`][@stdlib/stats/strided/smskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a single-precision floating-point strided array according to a mask.</span>
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- <span class="package-name">[`@stdlib/stats/strided/snanrange`][@stdlib/stats/strided/snanrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a single-precision floating-point strided array, ignoring NaN values.</span>
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<!-- <related-links> -->
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[@stdlib/stats/base/dnanmskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmskrange
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[@stdlib/stats/strided/dnanmskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmskrange
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[@stdlib/stats/base/nanmskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmskrange
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