time-to-botec/squiggle/node_modules/@stdlib/stats/incr/README.md

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@license Apache-2.0

Copyright (c) 2018 The Stdlib Authors.

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# Incremental Statistics

> Standard library functions for computing statistics incrementally.

<section class="usage">

## Usage

```javascript
var ns = require( '@stdlib/stats/incr' );
```

#### ns

Standard library functions for computing statistics incrementally.

```javascript
var incr = ns;
// returns {...}
```

<!-- <toc pattern="*"> -->

<div class="namespace-toc">

-   <span class="signature">[`incrapcorr( [mx, my] )`][@stdlib/stats/incr/apcorr]</span><span class="delimiter">: </span><span class="description">compute a sample absolute Pearson product-moment correlation coefficient incrementally.</span>
-   <span class="signature">[`incrcount()`][@stdlib/stats/incr/count]</span><span class="delimiter">: </span><span class="description">compute a count incrementally.</span>
-   <span class="signature">[`incrcovariance( [mx, my] )`][@stdlib/stats/incr/covariance]</span><span class="delimiter">: </span><span class="description">compute an unbiased sample covariance incrementally.</span>
-   <span class="signature">[`incrcovmat( out[, means] )`][@stdlib/stats/incr/covmat]</span><span class="delimiter">: </span><span class="description">compute an unbiased sample covariance matrix incrementally.</span>
-   <span class="signature">[`incrcv( [mean] )`][@stdlib/stats/incr/cv]</span><span class="delimiter">: </span><span class="description">compute the coefficient of variation (CV) incrementally.</span>
-   <span class="signature">[`increwmean( alpha )`][@stdlib/stats/incr/ewmean]</span><span class="delimiter">: </span><span class="description">compute an exponentially weighted mean incrementally.</span>
-   <span class="signature">[`increwstdev( alpha )`][@stdlib/stats/incr/ewstdev]</span><span class="delimiter">: </span><span class="description">compute an exponentially weighted standard deviation incrementally.</span>
-   <span class="signature">[`increwvariance( alpha )`][@stdlib/stats/incr/ewvariance]</span><span class="delimiter">: </span><span class="description">compute an exponentially weighted variance incrementally.</span>
-   <span class="signature">[`incrgmean()`][@stdlib/stats/incr/gmean]</span><span class="delimiter">: </span><span class="description">compute a geometric mean incrementally.</span>
-   <span class="signature">[`incrgrubbs( [options] )`][@stdlib/stats/incr/grubbs]</span><span class="delimiter">: </span><span class="description">grubbs' test for outliers.</span>
-   <span class="signature">[`incrhmean()`][@stdlib/stats/incr/hmean]</span><span class="delimiter">: </span><span class="description">compute a harmonic mean incrementally.</span>
-   <span class="signature">[`incrkurtosis()`][@stdlib/stats/incr/kurtosis]</span><span class="delimiter">: </span><span class="description">compute a corrected sample excess kurtosis incrementally.</span>
-   <span class="signature">[`incrmaape()`][@stdlib/stats/incr/maape]</span><span class="delimiter">: </span><span class="description">compute the mean arctangent absolute percentage error (MAAPE) incrementally.</span>
-   <span class="signature">[`incrmae()`][@stdlib/stats/incr/mae]</span><span class="delimiter">: </span><span class="description">compute the mean absolute error (MAE) incrementally.</span>
-   <span class="signature">[`incrmapcorr( window[, mx, my] )`][@stdlib/stats/incr/mapcorr]</span><span class="delimiter">: </span><span class="description">compute a moving sample absolute Pearson product-moment correlation coefficient incrementally.</span>
-   <span class="signature">[`incrmape()`][@stdlib/stats/incr/mape]</span><span class="delimiter">: </span><span class="description">compute the mean absolute percentage error (MAPE) incrementally.</span>
-   <span class="signature">[`incrmax()`][@stdlib/stats/incr/max]</span><span class="delimiter">: </span><span class="description">compute a maximum value incrementally.</span>
-   <span class="signature">[`incrmaxabs()`][@stdlib/stats/incr/maxabs]</span><span class="delimiter">: </span><span class="description">compute a maximum absolute value incrementally.</span>
-   <span class="signature">[`incrmcovariance( window[, mx, my] )`][@stdlib/stats/incr/mcovariance]</span><span class="delimiter">: </span><span class="description">compute a moving unbiased sample covariance incrementally.</span>
-   <span class="signature">[`incrmcv( window[, mean] )`][@stdlib/stats/incr/mcv]</span><span class="delimiter">: </span><span class="description">compute a moving coefficient of variation (CV) incrementally.</span>
-   <span class="signature">[`incrmda()`][@stdlib/stats/incr/mda]</span><span class="delimiter">: </span><span class="description">compute the mean directional accuracy (MDA) incrementally.</span>
-   <span class="signature">[`incrme()`][@stdlib/stats/incr/me]</span><span class="delimiter">: </span><span class="description">compute the mean error (ME) incrementally.</span>
-   <span class="signature">[`incrmean()`][@stdlib/stats/incr/mean]</span><span class="delimiter">: </span><span class="description">compute an arithmetic mean incrementally.</span>
-   <span class="signature">[`incrmeanabs()`][@stdlib/stats/incr/meanabs]</span><span class="delimiter">: </span><span class="description">compute an arithmetic mean of absolute values incrementally.</span>
-   <span class="signature">[`incrmeanabs2()`][@stdlib/stats/incr/meanabs2]</span><span class="delimiter">: </span><span class="description">compute an arithmetic mean of squared absolute values incrementally.</span>
-   <span class="signature">[`incrmeanstdev( [out] )`][@stdlib/stats/incr/meanstdev]</span><span class="delimiter">: </span><span class="description">compute an arithmetic mean and a corrected sample standard deviation incrementally.</span>
-   <span class="signature">[`incrmeanvar( [out] )`][@stdlib/stats/incr/meanvar]</span><span class="delimiter">: </span><span class="description">compute an arithmetic mean and an unbiased sample variance incrementally.</span>
-   <span class="signature">[`incrmgmean( window )`][@stdlib/stats/incr/mgmean]</span><span class="delimiter">: </span><span class="description">compute a moving geometric mean incrementally.</span>
-   <span class="signature">[`incrmgrubbs( window[, options] )`][@stdlib/stats/incr/mgrubbs]</span><span class="delimiter">: </span><span class="description">moving Grubbs' test for outliers.</span>
-   <span class="signature">[`incrmhmean( window )`][@stdlib/stats/incr/mhmean]</span><span class="delimiter">: </span><span class="description">compute a moving harmonic mean incrementally.</span>
-   <span class="signature">[`incrmidrange()`][@stdlib/stats/incr/midrange]</span><span class="delimiter">: </span><span class="description">compute a mid-range incrementally.</span>
-   <span class="signature">[`incrmin()`][@stdlib/stats/incr/min]</span><span class="delimiter">: </span><span class="description">compute a minimum value incrementally.</span>
-   <span class="signature">[`incrminabs()`][@stdlib/stats/incr/minabs]</span><span class="delimiter">: </span><span class="description">compute a minimum absolute value incrementally.</span>
-   <span class="signature">[`incrminmax( [out] )`][@stdlib/stats/incr/minmax]</span><span class="delimiter">: </span><span class="description">compute a minimum and maximum incrementally.</span>
-   <span class="signature">[`incrminmaxabs( [out] )`][@stdlib/stats/incr/minmaxabs]</span><span class="delimiter">: </span><span class="description">compute minimum and maximum absolute values incrementally.</span>
-   <span class="signature">[`incrmmaape( window )`][@stdlib/stats/incr/mmaape]</span><span class="delimiter">: </span><span class="description">compute a moving mean arctangent absolute percentage error (MAAPE) incrementally.</span>
-   <span class="signature">[`incrmmae( window )`][@stdlib/stats/incr/mmae]</span><span class="delimiter">: </span><span class="description">compute a moving mean absolute error (MAE) incrementally.</span>
-   <span class="signature">[`incrmmape( window )`][@stdlib/stats/incr/mmape]</span><span class="delimiter">: </span><span class="description">compute a moving mean absolute percentage error incrementally.</span>
-   <span class="signature">[`incrmmax( window )`][@stdlib/stats/incr/mmax]</span><span class="delimiter">: </span><span class="description">compute a moving maximum value incrementally.</span>
-   <span class="signature">[`incrmmaxabs( window )`][@stdlib/stats/incr/mmaxabs]</span><span class="delimiter">: </span><span class="description">compute a moving maximum absolute value incrementally.</span>
-   <span class="signature">[`incrmmda( window )`][@stdlib/stats/incr/mmda]</span><span class="delimiter">: </span><span class="description">compute a moving mean directional accuracy (MDA) incrementally.</span>
-   <span class="signature">[`incrmme( window )`][@stdlib/stats/incr/mme]</span><span class="delimiter">: </span><span class="description">compute a moving mean error (ME) incrementally.</span>
-   <span class="signature">[`incrmmean( window )`][@stdlib/stats/incr/mmean]</span><span class="delimiter">: </span><span class="description">compute a moving arithmetic mean incrementally.</span>
-   <span class="signature">[`incrmmeanabs( window )`][@stdlib/stats/incr/mmeanabs]</span><span class="delimiter">: </span><span class="description">compute a moving arithmetic mean of absolute values incrementally.</span>
-   <span class="signature">[`incrmmeanabs2( window )`][@stdlib/stats/incr/mmeanabs2]</span><span class="delimiter">: </span><span class="description">compute a moving arithmetic mean of squared absolute values incrementally.</span>
-   <span class="signature">[`incrmmeanstdev( [out,] window )`][@stdlib/stats/incr/mmeanstdev]</span><span class="delimiter">: </span><span class="description">compute a moving arithmetic mean and corrected sample standard deviation incrementally.</span>
-   <span class="signature">[`incrmmeanvar( [out,] window )`][@stdlib/stats/incr/mmeanvar]</span><span class="delimiter">: </span><span class="description">compute a moving arithmetic mean and unbiased sample variance incrementally.</span>
-   <span class="signature">[`incrmmidrange( window )`][@stdlib/stats/incr/mmidrange]</span><span class="delimiter">: </span><span class="description">compute a moving mid-range incrementally.</span>
-   <span class="signature">[`incrmmin( window )`][@stdlib/stats/incr/mmin]</span><span class="delimiter">: </span><span class="description">compute a moving minimum value incrementally.</span>
-   <span class="signature">[`incrmminabs( window )`][@stdlib/stats/incr/mminabs]</span><span class="delimiter">: </span><span class="description">compute a moving minimum absolute value incrementally.</span>
-   <span class="signature">[`incrmminmax( [out,] window )`][@stdlib/stats/incr/mminmax]</span><span class="delimiter">: </span><span class="description">compute a moving minimum and maximum incrementally.</span>
-   <span class="signature">[`incrmminmaxabs( [out,] window )`][@stdlib/stats/incr/mminmaxabs]</span><span class="delimiter">: </span><span class="description">compute moving minimum and maximum absolute values incrementally.</span>
-   <span class="signature">[`incrmmpe( window )`][@stdlib/stats/incr/mmpe]</span><span class="delimiter">: </span><span class="description">compute a moving mean percentage error (MPE) incrementally.</span>
-   <span class="signature">[`incrmmse( window )`][@stdlib/stats/incr/mmse]</span><span class="delimiter">: </span><span class="description">compute a moving mean squared error (MSE) incrementally.</span>
-   <span class="signature">[`incrmpcorr( window[, mx, my] )`][@stdlib/stats/incr/mpcorr]</span><span class="delimiter">: </span><span class="description">compute a moving sample Pearson product-moment correlation coefficient incrementally.</span>
-   <span class="signature">[`incrmpcorr2( window[, mx, my] )`][@stdlib/stats/incr/mpcorr2]</span><span class="delimiter">: </span><span class="description">compute a moving squared sample Pearson product-moment correlation coefficient incrementally.</span>
-   <span class="signature">[`incrmpcorrdist( window[, mx, my] )`][@stdlib/stats/incr/mpcorrdist]</span><span class="delimiter">: </span><span class="description">compute a moving sample Pearson product-moment correlation distance incrementally.</span>
-   <span class="signature">[`incrmpe()`][@stdlib/stats/incr/mpe]</span><span class="delimiter">: </span><span class="description">compute the mean percentage error (MPE) incrementally.</span>
-   <span class="signature">[`incrmprod( window )`][@stdlib/stats/incr/mprod]</span><span class="delimiter">: </span><span class="description">compute a moving product incrementally.</span>
-   <span class="signature">[`incrmrange( window )`][@stdlib/stats/incr/mrange]</span><span class="delimiter">: </span><span class="description">compute a moving range incrementally.</span>
-   <span class="signature">[`incrmrmse( window )`][@stdlib/stats/incr/mrmse]</span><span class="delimiter">: </span><span class="description">compute a moving root mean squared error (RMSE) incrementally.</span>
-   <span class="signature">[`incrmrss( window )`][@stdlib/stats/incr/mrss]</span><span class="delimiter">: </span><span class="description">compute a moving residual sum of squares (RSS) incrementally.</span>
-   <span class="signature">[`incrmse()`][@stdlib/stats/incr/mse]</span><span class="delimiter">: </span><span class="description">compute the mean squared error (MSE) incrementally.</span>
-   <span class="signature">[`incrmstdev( window[, mean] )`][@stdlib/stats/incr/mstdev]</span><span class="delimiter">: </span><span class="description">compute a moving corrected sample standard deviation incrementally.</span>
-   <span class="signature">[`incrmsum( window )`][@stdlib/stats/incr/msum]</span><span class="delimiter">: </span><span class="description">compute a moving sum incrementally.</span>
-   <span class="signature">[`incrmsumabs( window )`][@stdlib/stats/incr/msumabs]</span><span class="delimiter">: </span><span class="description">compute a moving sum of absolute values incrementally.</span>
-   <span class="signature">[`incrmsumabs2( window )`][@stdlib/stats/incr/msumabs2]</span><span class="delimiter">: </span><span class="description">compute a moving sum of squared absolute values incrementally.</span>
-   <span class="signature">[`incrmsummary( window )`][@stdlib/stats/incr/msummary]</span><span class="delimiter">: </span><span class="description">compute a moving statistical summary incrementally.</span>
-   <span class="signature">[`incrmsumprod( window )`][@stdlib/stats/incr/msumprod]</span><span class="delimiter">: </span><span class="description">compute a moving sum of products incrementally.</span>
-   <span class="signature">[`incrmvariance( window[, mean] )`][@stdlib/stats/incr/mvariance]</span><span class="delimiter">: </span><span class="description">compute a moving unbiased sample variance incrementally.</span>
-   <span class="signature">[`incrmvmr( window[, mean] )`][@stdlib/stats/incr/mvmr]</span><span class="delimiter">: </span><span class="description">compute a moving variance-to-mean ratio (VMR) incrementally.</span>
-   <span class="signature">[`incrnancount()`][@stdlib/stats/incr/nancount]</span><span class="delimiter">: </span><span class="description">compute a count incrementally, ignoring `NaN` values.</span>
-   <span class="signature">[`incrnansum()`][@stdlib/stats/incr/nansum]</span><span class="delimiter">: </span><span class="description">compute a sum incrementally, ignoring `NaN` values.</span>
-   <span class="signature">[`incrnansumabs()`][@stdlib/stats/incr/nansumabs]</span><span class="delimiter">: </span><span class="description">compute a sum of absolute values incrementally, ignoring `NaN` values.</span>
-   <span class="signature">[`incrnansumabs2()`][@stdlib/stats/incr/nansumabs2]</span><span class="delimiter">: </span><span class="description">compute a sum of squared absolute values incrementally, ignoring `NaN` values.</span>
-   <span class="signature">[`incrpcorr( [mx, my] )`][@stdlib/stats/incr/pcorr]</span><span class="delimiter">: </span><span class="description">compute a sample Pearson product-moment correlation coefficient incrementally.</span>
-   <span class="signature">[`incrpcorr2( [mx, my] )`][@stdlib/stats/incr/pcorr2]</span><span class="delimiter">: </span><span class="description">compute a squared sample Pearson product-moment correlation coefficient incrementally.</span>
-   <span class="signature">[`incrpcorrdist( [mx, my] )`][@stdlib/stats/incr/pcorrdist]</span><span class="delimiter">: </span><span class="description">compute a sample Pearson product-moment correlation distance incrementally.</span>
-   <span class="signature">[`incrpcorrdistmat( out[, means] )`][@stdlib/stats/incr/pcorrdistmat]</span><span class="delimiter">: </span><span class="description">compute a sample Pearson product-moment correlation distance matrix incrementally.</span>
-   <span class="signature">[`incrpcorrmat( out[, means] )`][@stdlib/stats/incr/pcorrmat]</span><span class="delimiter">: </span><span class="description">compute a sample Pearson product-moment correlation matrix incrementally.</span>
-   <span class="signature">[`incrprod()`][@stdlib/stats/incr/prod]</span><span class="delimiter">: </span><span class="description">compute a product incrementally.</span>
-   <span class="signature">[`incrrange()`][@stdlib/stats/incr/range]</span><span class="delimiter">: </span><span class="description">compute a range incrementally.</span>
-   <span class="signature">[`incrrmse()`][@stdlib/stats/incr/rmse]</span><span class="delimiter">: </span><span class="description">compute the root mean squared error (RMSE) incrementally.</span>
-   <span class="signature">[`incrrss()`][@stdlib/stats/incr/rss]</span><span class="delimiter">: </span><span class="description">compute the residual sum of squares (RSS) incrementally.</span>
-   <span class="signature">[`incrskewness()`][@stdlib/stats/incr/skewness]</span><span class="delimiter">: </span><span class="description">compute a corrected sample skewness incrementally.</span>
-   <span class="signature">[`incrstdev( [mean] )`][@stdlib/stats/incr/stdev]</span><span class="delimiter">: </span><span class="description">compute a corrected sample standard deviation incrementally.</span>
-   <span class="signature">[`incrsum()`][@stdlib/stats/incr/sum]</span><span class="delimiter">: </span><span class="description">compute a sum incrementally.</span>
-   <span class="signature">[`incrsumabs()`][@stdlib/stats/incr/sumabs]</span><span class="delimiter">: </span><span class="description">compute a sum of absolute values incrementally.</span>
-   <span class="signature">[`incrsumabs2()`][@stdlib/stats/incr/sumabs2]</span><span class="delimiter">: </span><span class="description">compute a sum of squared absolute values incrementally.</span>
-   <span class="signature">[`incrsummary()`][@stdlib/stats/incr/summary]</span><span class="delimiter">: </span><span class="description">compute a statistical summary incrementally.</span>
-   <span class="signature">[`incrsumprod()`][@stdlib/stats/incr/sumprod]</span><span class="delimiter">: </span><span class="description">compute a sum of products incrementally.</span>
-   <span class="signature">[`incrvariance( [mean] )`][@stdlib/stats/incr/variance]</span><span class="delimiter">: </span><span class="description">compute an unbiased sample variance incrementally.</span>
-   <span class="signature">[`incrvmr( [mean] )`][@stdlib/stats/incr/vmr]</span><span class="delimiter">: </span><span class="description">compute a variance-to-mean ratio (VMR) incrementally.</span>
-   <span class="signature">[`incrwmean()`][@stdlib/stats/incr/wmean]</span><span class="delimiter">: </span><span class="description">compute a weighted arithmetic mean incrementally.</span>

</div>

<!-- </toc> -->

</section>

<!-- /.usage -->

<section class="examples">

## Examples

<!-- TODO: better examples -->

<!-- eslint no-undef: "error" -->

```javascript
var getKeys = require( '@stdlib/utils/keys' );
var ns = require( '@stdlib/stats/incr' );

console.log( getKeys( ns ) );
```

</section>

<!-- /.examples -->

<section class="links">

<!-- <toc-links> -->

[@stdlib/stats/incr/apcorr]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/apcorr

[@stdlib/stats/incr/count]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/count

[@stdlib/stats/incr/covariance]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/covariance

[@stdlib/stats/incr/covmat]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/covmat

[@stdlib/stats/incr/cv]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/cv

[@stdlib/stats/incr/ewmean]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/ewmean

[@stdlib/stats/incr/ewstdev]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/ewstdev

[@stdlib/stats/incr/ewvariance]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/ewvariance

[@stdlib/stats/incr/gmean]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/gmean

[@stdlib/stats/incr/grubbs]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/grubbs

[@stdlib/stats/incr/hmean]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/hmean

[@stdlib/stats/incr/kurtosis]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/kurtosis

[@stdlib/stats/incr/maape]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/maape

[@stdlib/stats/incr/mae]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mae

[@stdlib/stats/incr/mapcorr]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mapcorr

[@stdlib/stats/incr/mape]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mape

[@stdlib/stats/incr/max]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/max

[@stdlib/stats/incr/maxabs]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/maxabs

[@stdlib/stats/incr/mcovariance]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mcovariance

[@stdlib/stats/incr/mcv]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mcv

[@stdlib/stats/incr/mda]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mda

[@stdlib/stats/incr/me]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/me

[@stdlib/stats/incr/mean]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mean

[@stdlib/stats/incr/meanabs]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/meanabs

[@stdlib/stats/incr/meanabs2]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/meanabs2

[@stdlib/stats/incr/meanstdev]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/meanstdev

[@stdlib/stats/incr/meanvar]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/meanvar

[@stdlib/stats/incr/mgmean]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mgmean

[@stdlib/stats/incr/mgrubbs]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mgrubbs

[@stdlib/stats/incr/mhmean]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mhmean

[@stdlib/stats/incr/midrange]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/midrange

[@stdlib/stats/incr/min]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/min

[@stdlib/stats/incr/minabs]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/minabs

[@stdlib/stats/incr/minmax]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/minmax

[@stdlib/stats/incr/minmaxabs]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/minmaxabs

[@stdlib/stats/incr/mmaape]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mmaape

[@stdlib/stats/incr/mmae]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mmae

[@stdlib/stats/incr/mmape]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mmape

[@stdlib/stats/incr/mmax]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mmax

[@stdlib/stats/incr/mmaxabs]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mmaxabs

[@stdlib/stats/incr/mmda]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mmda

[@stdlib/stats/incr/mme]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mme

[@stdlib/stats/incr/mmean]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mmean

[@stdlib/stats/incr/mmeanabs]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mmeanabs

[@stdlib/stats/incr/mmeanabs2]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mmeanabs2

[@stdlib/stats/incr/mmeanstdev]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mmeanstdev

[@stdlib/stats/incr/mmeanvar]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mmeanvar

[@stdlib/stats/incr/mmidrange]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mmidrange

[@stdlib/stats/incr/mmin]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mmin

[@stdlib/stats/incr/mminabs]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mminabs

[@stdlib/stats/incr/mminmax]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mminmax

[@stdlib/stats/incr/mminmaxabs]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mminmaxabs

[@stdlib/stats/incr/mmpe]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mmpe

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</section>

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