README.md (30047B)
1 <!-- 2 3 @license Apache-2.0 4 5 Copyright (c) 2018 The Stdlib Authors. 6 7 Licensed under the Apache License, Version 2.0 (the "License"); 8 you may not use this file except in compliance with the License. 9 You may obtain a copy of the License at 10 11 http://www.apache.org/licenses/LICENSE-2.0 12 13 Unless required by applicable law or agreed to in writing, software 14 distributed under the License is distributed on an "AS IS" BASIS, 15 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 16 See the License for the specific language governing permissions and 17 limitations under the License. 18 19 --> 20 21 # Incremental Statistics 22 23 > Standard library functions for computing statistics incrementally. 24 25 <section class="usage"> 26 27 ## Usage 28 29 ```javascript 30 var ns = require( '@stdlib/stats/incr' ); 31 ``` 32 33 #### ns 34 35 Standard library functions for computing statistics incrementally. 36 37 ```javascript 38 var incr = ns; 39 // returns {...} 40 ``` 41 42 <!-- <toc pattern="*"> --> 43 44 <div class="namespace-toc"> 45 46 - <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> 47 - <span class="signature">[`incrcount()`][@stdlib/stats/incr/count]</span><span class="delimiter">: </span><span class="description">compute a count incrementally.</span> 48 - <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> 49 - <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> 50 - <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> 51 - <span class="signature">[`increwmean( alpha )`][@stdlib/stats/incr/ewmean]</span><span class="delimiter">: </span><span class="description">compute an exponentially weighted mean incrementally.</span> 52 - <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> 53 - <span class="signature">[`increwvariance( alpha )`][@stdlib/stats/incr/ewvariance]</span><span class="delimiter">: </span><span class="description">compute an exponentially weighted variance incrementally.</span> 54 - <span class="signature">[`incrgmean()`][@stdlib/stats/incr/gmean]</span><span class="delimiter">: </span><span class="description">compute a geometric mean incrementally.</span> 55 - <span class="signature">[`incrgrubbs( [options] )`][@stdlib/stats/incr/grubbs]</span><span class="delimiter">: </span><span class="description">grubbs' test for outliers.</span> 56 - <span class="signature">[`incrhmean()`][@stdlib/stats/incr/hmean]</span><span class="delimiter">: </span><span class="description">compute a harmonic mean incrementally.</span> 57 - <span class="signature">[`incrkurtosis()`][@stdlib/stats/incr/kurtosis]</span><span class="delimiter">: </span><span class="description">compute a corrected sample excess kurtosis incrementally.</span> 58 - <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> 59 - <span class="signature">[`incrmae()`][@stdlib/stats/incr/mae]</span><span class="delimiter">: </span><span class="description">compute the mean absolute error (MAE) incrementally.</span> 60 - <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> 61 - <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> 62 - <span class="signature">[`incrmax()`][@stdlib/stats/incr/max]</span><span class="delimiter">: </span><span class="description">compute a maximum value incrementally.</span> 63 - <span class="signature">[`incrmaxabs()`][@stdlib/stats/incr/maxabs]</span><span class="delimiter">: </span><span class="description">compute a maximum absolute value incrementally.</span> 64 - <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> 65 - <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> 66 - <span class="signature">[`incrmda()`][@stdlib/stats/incr/mda]</span><span class="delimiter">: </span><span class="description">compute the mean directional accuracy (MDA) incrementally.</span> 67 - <span class="signature">[`incrme()`][@stdlib/stats/incr/me]</span><span class="delimiter">: </span><span class="description">compute the mean error (ME) incrementally.</span> 68 - <span class="signature">[`incrmean()`][@stdlib/stats/incr/mean]</span><span class="delimiter">: </span><span class="description">compute an arithmetic mean incrementally.</span> 69 - <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> 70 - <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> 71 - <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> 72 - <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> 73 - <span class="signature">[`incrmgmean( window )`][@stdlib/stats/incr/mgmean]</span><span class="delimiter">: </span><span class="description">compute a moving geometric mean incrementally.</span> 74 - <span class="signature">[`incrmgrubbs( window[, options] )`][@stdlib/stats/incr/mgrubbs]</span><span class="delimiter">: </span><span class="description">moving Grubbs' test for outliers.</span> 75 - <span class="signature">[`incrmhmean( window )`][@stdlib/stats/incr/mhmean]</span><span class="delimiter">: </span><span class="description">compute a moving harmonic mean incrementally.</span> 76 - <span class="signature">[`incrmidrange()`][@stdlib/stats/incr/midrange]</span><span class="delimiter">: </span><span class="description">compute a mid-range incrementally.</span> 77 - <span class="signature">[`incrmin()`][@stdlib/stats/incr/min]</span><span class="delimiter">: </span><span class="description">compute a minimum value incrementally.</span> 78 - <span class="signature">[`incrminabs()`][@stdlib/stats/incr/minabs]</span><span class="delimiter">: </span><span class="description">compute a minimum absolute value incrementally.</span> 79 - <span class="signature">[`incrminmax( [out] )`][@stdlib/stats/incr/minmax]</span><span class="delimiter">: </span><span class="description">compute a minimum and maximum incrementally.</span> 80 - <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> 81 - <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> 82 - <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> 83 - <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> 84 - <span class="signature">[`incrmmax( window )`][@stdlib/stats/incr/mmax]</span><span class="delimiter">: </span><span class="description">compute a moving maximum value incrementally.</span> 85 - <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> 86 - <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> 87 - <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> 88 - <span class="signature">[`incrmmean( window )`][@stdlib/stats/incr/mmean]</span><span class="delimiter">: </span><span class="description">compute a moving arithmetic mean incrementally.</span> 89 - <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> 90 - <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> 91 - <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> 92 - <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> 93 - <span class="signature">[`incrmmidrange( window )`][@stdlib/stats/incr/mmidrange]</span><span class="delimiter">: </span><span class="description">compute a moving mid-range incrementally.</span> 94 - <span class="signature">[`incrmmin( window )`][@stdlib/stats/incr/mmin]</span><span class="delimiter">: </span><span class="description">compute a moving minimum value incrementally.</span> 95 - <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> 96 - <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> 97 - <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> 98 - <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> 99 - <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> 100 - <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> 101 - <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> 102 - <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> 103 - <span class="signature">[`incrmpe()`][@stdlib/stats/incr/mpe]</span><span class="delimiter">: </span><span class="description">compute the mean percentage error (MPE) incrementally.</span> 104 - <span class="signature">[`incrmprod( window )`][@stdlib/stats/incr/mprod]</span><span class="delimiter">: </span><span class="description">compute a moving product incrementally.</span> 105 - <span class="signature">[`incrmrange( window )`][@stdlib/stats/incr/mrange]</span><span class="delimiter">: </span><span class="description">compute a moving range incrementally.</span> 106 - <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> 107 - <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> 108 - <span class="signature">[`incrmse()`][@stdlib/stats/incr/mse]</span><span class="delimiter">: </span><span class="description">compute the mean squared error (MSE) incrementally.</span> 109 - <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> 110 - <span class="signature">[`incrmsum( window )`][@stdlib/stats/incr/msum]</span><span class="delimiter">: </span><span class="description">compute a moving sum incrementally.</span> 111 - <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> 112 - <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> 113 - <span class="signature">[`incrmsummary( window )`][@stdlib/stats/incr/msummary]</span><span class="delimiter">: </span><span class="description">compute a moving statistical summary incrementally.</span> 114 - <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> 115 - <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> 116 - <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> 117 - <span class="signature">[`incrnancount()`][@stdlib/stats/incr/nancount]</span><span class="delimiter">: </span><span class="description">compute a count incrementally, ignoring `NaN` values.</span> 118 - <span class="signature">[`incrnansum()`][@stdlib/stats/incr/nansum]</span><span class="delimiter">: </span><span class="description">compute a sum incrementally, ignoring `NaN` values.</span> 119 - <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> 120 - <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> 121 - <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> 122 - <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> 123 - <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> 124 - <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> 125 - <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> 126 - <span class="signature">[`incrprod()`][@stdlib/stats/incr/prod]</span><span class="delimiter">: </span><span class="description">compute a product incrementally.</span> 127 - <span class="signature">[`incrrange()`][@stdlib/stats/incr/range]</span><span class="delimiter">: </span><span class="description">compute a range incrementally.</span> 128 - <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> 129 - <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> 130 - <span class="signature">[`incrskewness()`][@stdlib/stats/incr/skewness]</span><span class="delimiter">: </span><span class="description">compute a corrected sample skewness incrementally.</span> 131 - <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> 132 - <span class="signature">[`incrsum()`][@stdlib/stats/incr/sum]</span><span class="delimiter">: </span><span class="description">compute a sum incrementally.</span> 133 - <span class="signature">[`incrsumabs()`][@stdlib/stats/incr/sumabs]</span><span class="delimiter">: </span><span class="description">compute a sum of absolute values incrementally.</span> 134 - <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> 135 - <span class="signature">[`incrsummary()`][@stdlib/stats/incr/summary]</span><span class="delimiter">: </span><span class="description">compute a statistical summary incrementally.</span> 136 - <span class="signature">[`incrsumprod()`][@stdlib/stats/incr/sumprod]</span><span class="delimiter">: </span><span class="description">compute a sum of products incrementally.</span> 137 - <span class="signature">[`incrvariance( [mean] )`][@stdlib/stats/incr/variance]</span><span class="delimiter">: </span><span class="description">compute an unbiased sample variance incrementally.</span> 138 - <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> 139 - <span class="signature">[`incrwmean()`][@stdlib/stats/incr/wmean]</span><span class="delimiter">: </span><span class="description">compute a weighted arithmetic mean incrementally.</span> 140 141 </div> 142 143 <!-- </toc> --> 144 145 </section> 146 147 <!-- /.usage --> 148 149 <section class="examples"> 150 151 ## Examples 152 153 <!-- TODO: better examples --> 154 155 <!-- eslint no-undef: "error" --> 156 157 ```javascript 158 var getKeys = require( '@stdlib/utils/keys' ); 159 var ns = require( '@stdlib/stats/incr' ); 160 161 console.log( getKeys( ns ) ); 162 ``` 163 164 </section> 165 166 <!-- /.examples --> 167 168 <section class="links"> 169 170 <!-- <toc-links> --> 171 172 [@stdlib/stats/incr/apcorr]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/apcorr 173 174 [@stdlib/stats/incr/count]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/count 175 176 [@stdlib/stats/incr/covariance]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/covariance 177 178 [@stdlib/stats/incr/covmat]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/covmat 179 180 [@stdlib/stats/incr/cv]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/cv 181 182 [@stdlib/stats/incr/ewmean]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/ewmean 183 184 [@stdlib/stats/incr/ewstdev]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/ewstdev 185 186 [@stdlib/stats/incr/ewvariance]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/ewvariance 187 188 [@stdlib/stats/incr/gmean]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/gmean 189 190 [@stdlib/stats/incr/grubbs]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/grubbs 191 192 [@stdlib/stats/incr/hmean]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/hmean 193 194 [@stdlib/stats/incr/kurtosis]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/kurtosis 195 196 [@stdlib/stats/incr/maape]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/maape 197 198 [@stdlib/stats/incr/mae]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mae 199 200 [@stdlib/stats/incr/mapcorr]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mapcorr 201 202 [@stdlib/stats/incr/mape]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mape 203 204 [@stdlib/stats/incr/max]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/max 205 206 [@stdlib/stats/incr/maxabs]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/maxabs 207 208 [@stdlib/stats/incr/mcovariance]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mcovariance 209 210 [@stdlib/stats/incr/mcv]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mcv 211 212 [@stdlib/stats/incr/mda]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mda 213 214 [@stdlib/stats/incr/me]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/me 215 216 [@stdlib/stats/incr/mean]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mean 217 218 [@stdlib/stats/incr/meanabs]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/meanabs 219 220 [@stdlib/stats/incr/meanabs2]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/meanabs2 221 222 [@stdlib/stats/incr/meanstdev]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/meanstdev 223 224 [@stdlib/stats/incr/meanvar]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/meanvar 225 226 [@stdlib/stats/incr/mgmean]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mgmean 227 228 [@stdlib/stats/incr/mgrubbs]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mgrubbs 229 230 [@stdlib/stats/incr/mhmean]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/mhmean 231 232 [@stdlib/stats/incr/midrange]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/midrange 233 234 [@stdlib/stats/incr/min]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/min 235 236 [@stdlib/stats/incr/minabs]: https://www.npmjs.com/package/@stdlib/stats/tree/main/incr/minabs 237 238 [@stdlib/stats/incr/minmax]: 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