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CHANGELOG.md

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### BREAKING CHANGES
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- [`a2d6cbe`](https://github.com/stdlib-js/stdlib/commit/a2d6cbefb9d9d408f0fb89b7cec6b70cd6315427): remove `stats/base/dnanmskmax`
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- To migrate, users should update their require/import paths to use
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`@stdlib/stats-strided/dnanmskmax`, which provides the same API and implementation.
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Ref: https://github.com/stdlib-js/stdlib/issues/4797
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- [`d59e563`](https://github.com/stdlib-js/stdlib/commit/d59e563c9a551a8b058ba603f7e40afddd3f5788): remove `dnanmskmax`
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- To migrate, users should access the same symbol via the `@stdlib/stats-strided` namespace.
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Ref: https://github.com/stdlib-js/stdlib/issues/4797
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- [`f3d9c6a`](https://github.com/stdlib-js/stdlib/commit/f3d9c6a01151df8282cc83884b6c12719bffee17): remove `stats/base/dmeanpn`
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- To migrate, users should update their require/import paths to use
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<details>
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- [`a2d6cbe`](https://github.com/stdlib-js/stdlib/commit/a2d6cbefb9d9d408f0fb89b7cec6b70cd6315427) - **remove:** remove `stats/base/dnanmskmax` _(by Gururaj Gurram)_
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- [`fe52935`](https://github.com/stdlib-js/stdlib/commit/fe52935c933cce3e5550436a283495fb1dec0898) - **refactor:** update paths _(by Gururaj Gurram)_
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- [`d59e563`](https://github.com/stdlib-js/stdlib/commit/d59e563c9a551a8b058ba603f7e40afddd3f5788) - **remove:** remove `dnanmskmax` from namespace _(by Gururaj Gurram)_
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- [`03e5c54`](https://github.com/stdlib-js/stdlib/commit/03e5c54b90e538bee276484281d2e4553d7ec83e) - **docs:** update namespace table of contents [(#7233)](https://github.com/stdlib-js/stdlib/pull/7233) _(by stdlib-bot)_
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- [`f3d9c6a`](https://github.com/stdlib-js/stdlib/commit/f3d9c6a01151df8282cc83884b6c12719bffee17) - **remove:** remove `stats/base/dmeanpn` _(by Gururaj Gurram)_
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- [`021eb13`](https://github.com/stdlib-js/stdlib/commit/021eb13dce7e7c359ec262d0d37cce210deef3a7) - **refactor:** update paths _(by Gururaj Gurram)_

README.md

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- <span class="signature">[`dmeanstdevpn( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.</span>
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- <span class="signature">[`dmeanvar( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanvar]</span><span class="delimiter">: </span><span class="description">calculate the mean and variance of a double-precision floating-point strided array.</span>
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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/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>
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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/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>
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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">[`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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[@stdlib/stats/base/dmeanvarpn]: https://github.com/stdlib-js/stats-base-dmeanvarpn
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[@stdlib/stats/base/dnanmskmax]: https://github.com/stdlib-js/stats-base-dnanmskmax
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[@stdlib/stats/strided/dnanmskmax]: https://github.com/stdlib-js/stats-strided-dnanmskmax
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[@stdlib/stats/base/dnanmskmin]: https://github.com/stdlib-js/stats-base-dnanmskmin
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dist/index.js

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dist/index.js.map

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