Incremental Statistics
Incremental statistics.
Usage
var ns = require( '@stdlib/stats/incr' );
ns
Namespace containing functions for computing statistics incrementally.
var incr = ns;
// returns {...}
incrapcorr( [mx, my] ): compute a sample absolute Pearson product-moment correlation coefficient incrementally.incrcount(): compute a count incrementally.incrcovariance( [mx, my] ): compute an unbiased sample covariance incrementally.incrcovmat( out[, means] ): compute an unbiased sample covariance matrix incrementally.incrcv( [mean] ): compute the coefficient of variation (CV) incrementally.increwmean( alpha ): compute an exponentially weighted mean incrementally.increwstdev( alpha ): compute an exponentially weighted standard deviation incrementally.increwvariance( alpha ): compute an exponentially weighted variance incrementally.incrgmean(): compute a geometric mean incrementally.incrgrubbs( [options] ): grubbs' test for outliers.incrhmean(): compute a harmonic mean incrementally.incrkurtosis(): compute a corrected sample excess kurtosis incrementally.incrmaape(): compute the mean arctangent absolute percentage error (MAAPE) incrementally.incrmae(): compute the mean absolute error (MAE) incrementally.incrmapcorr( window[, mx, my] ): compute a moving sample absolute Pearson product-moment correlation coefficient incrementally.incrmape(): compute the mean absolute percentage error (MAPE) incrementally.incrmax(): compute a maximum value incrementally.incrmaxabs(): compute a maximum absolute value incrementally.incrmcovariance( window[, mx, my] ): compute a moving unbiased sample covariance incrementally.incrmcv( window[, mean] ): compute a moving coefficient of variation (CV) incrementally.incrmda(): compute the mean directional accuracy (MDA) incrementally.incrme(): compute the mean error (ME) incrementally.incrmean(): compute an arithmetic mean incrementally.incrmeanabs(): compute an arithmetic mean of absolute values incrementally.incrmeanabs2(): compute an arithmetic mean of squared absolute values incrementally.incrmeanstdev( [out] ): compute an arithmetic mean and a corrected sample standard deviation incrementally.incrmeanvar( [out] ): compute an arithmetic mean and an unbiased sample variance incrementally.incrmgmean( window ): compute a moving geometric mean incrementally.incrmgrubbs( window[, options] ): moving Grubbs' test for outliers.incrmhmean( window ): compute a moving harmonic mean incrementally.incrmidrange(): compute a mid-range incrementally.incrmin(): compute a minimum value incrementally.incrminabs(): compute a minimum absolute value incrementally.incrminmax( [out] ): compute a minimum and maximum incrementally.incrminmaxabs( [out] ): compute minimum and maximum absolute values incrementally.incrmmaape( window ): compute a moving mean arctangent absolute percentage error (MAAPE) incrementally.incrmmae( window ): compute a moving mean absolute error (MAE) incrementally.incrmmape( window ): compute a moving mean absolute percentage error incrementally.incrmmax( window ): compute a moving maximum value incrementally.incrmmaxabs( window ): compute a moving maximum absolute value incrementally.incrmmda( window ): compute a moving mean directional accuracy (MDA) incrementally.incrmme( window ): compute a moving mean error (ME) incrementally.incrmmean( window ): compute a moving arithmetic mean incrementally.incrmmeanabs( window ): compute a moving arithmetic mean of absolute values incrementally.incrmmeanabs2( window ): compute a moving arithmetic mean of squared absolute values incrementally.incrmmeanstdev( [out,] window ): compute a moving arithmetic mean and corrected sample standard deviation incrementally.incrmmeanvar( [out,] window ): compute a moving arithmetic mean and unbiased sample variance incrementally.incrmmidrange( window ): compute a moving mid-range incrementally.incrmmin( window ): compute a moving minimum value incrementally.incrmminabs( window ): compute a moving minimum absolute value incrementally.incrmminmax( [out,] window ): compute a moving minimum and maximum incrementally.incrmminmaxabs( [out,] window ): compute moving minimum and maximum absolute values incrementally.incrmmpe( window ): compute a moving mean percentage error (MPE) incrementally.incrmmse( window ): compute a moving mean squared error (MSE) incrementally.incrmpcorr( window[, mx, my] ): compute a moving sample Pearson product-moment correlation coefficient incrementally.incrmpcorr2( window[, mx, my] ): compute a moving squared sample Pearson product-moment correlation coefficient incrementally.incrmpcorrdist( window[, mx, my] ): compute a moving sample Pearson product-moment correlation distance incrementally.incrmpe(): compute the mean percentage error (MPE) incrementally.incrmprod( window ): compute a moving product incrementally.incrmrange( window ): compute a moving range incrementally.incrmrmse( window ): compute a moving root mean squared error (RMSE) incrementally.incrmrss( window ): compute a moving residual sum of squares (RSS) incrementally.incrmse(): compute the mean squared error (MSE) incrementally.incrmstdev( window[, mean] ): compute a moving corrected sample standard deviation incrementally.incrmsum( window ): compute a moving sum incrementally.incrmsumabs( window ): compute a moving sum of absolute values incrementally.incrmsumabs2( window ): compute a moving sum of squared absolute values incrementally.incrmsummary( window ): compute a moving statistical summary incrementally.incrmsumprod( window ): compute a moving sum of products incrementally.incrmvariance( window[, mean] ): compute a moving unbiased sample variance incrementally.incrmvmr( window[, mean] ): compute a moving variance-to-mean ratio (VMR) incrementally.incrnancount(): compute a count incrementally, ignoringNaNvalues.incrnansum(): compute a sum incrementally, ignoringNaNvalues.incrnansumabs(): compute a sum of absolute values incrementally, ignoringNaNvalues.incrnansumabs2(): compute a sum of squared absolute values incrementally, ignoringNaNvalues.incrpcorr( [mx, my] ): compute a sample Pearson product-moment correlation coefficient incrementally.incrpcorr2( [mx, my] ): compute a squared sample Pearson product-moment correlation coefficient incrementally.incrpcorrdist( [mx, my] ): compute a sample Pearson product-moment correlation distance incrementally.incrpcorrdistmat( out[, means] ): compute a sample Pearson product-moment correlation distance matrix incrementally.incrpcorrmat( out[, means] ): compute a sample Pearson product-moment correlation matrix incrementally.incrprod(): compute a product incrementally.incrrange(): compute a range incrementally.incrrmse(): compute the root mean squared error (RMSE) incrementally.incrrss(): compute the residual sum of squares (RSS) incrementally.incrskewness(): compute a corrected sample skewness incrementally.incrstdev( [mean] ): compute a corrected sample standard deviation incrementally.incrsum(): compute a sum incrementally.incrsumabs(): compute a sum of absolute values incrementally.incrsumabs2(): compute a sum of squared absolute values incrementally.incrsummary(): compute a statistical summary incrementally.incrsumprod(): compute a sum of products incrementally.incrvariance( [mean] ): compute an unbiased sample variance incrementally.incrvmr( [mean] ): compute a variance-to-mean ratio (VMR) incrementally.incrwmean(): compute a weighted arithmetic mean incrementally.
Examples
var getKeys = require( '@stdlib/utils/keys' );
var ns = require( '@stdlib/stats/incr' );
console.log( getKeys( ns ) );