Standard library functions for computing statistics incrementally.
var ns = require( '@stdlib/stats/incr' );
Standard library functions for computing statistics incrementally.
var incr = ns;
// returns {...}
incrcount()
: compute a count incrementally.incrcovariance( [mx, my] )
: compute an unbiased sample covariance incrementally.incrcovmat( out[, means] )
: compute an unbiased sample covariance matrix incrementally.increwmean( alpha )
: compute an exponentially weighted mean incrementally.incrgmean()
: compute a geometric mean incrementally.incrhmean()
: compute a harmonic mean incrementally.incrkurtosis()
: compute a corrected sample excess kurtosis 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.incrmean()
: compute an arithmetic mean incrementally.incrmidrange()
: compute a mid-range incrementally.incrmin()
: compute a minimum value incrementally.incrminabs()
: compute a minimum absolute value incrementally.incrmmax( window )
: compute a moving maximum value incrementally.incrmmaxabs( window )
: compute a moving maximum absolute value incrementally.incrmmean( window )
: compute a moving arithmetic mean 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.incrmpcorr( window[, mx, my] )
: compute a moving sample Pearson product-moment correlation coefficient incrementally.incrmpcorrdist( window[, mx, my] )
: compute a moving sample Pearson product-moment correlation distance incrementally.incrmprod( window )
: compute a moving product incrementally.incrmrange( window )
: compute a moving range 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.incrmsummary( window )
: compute a moving statistical summary incrementally.incrmvariance( window[, mean] )
: compute a moving unbiased sample variance incrementally.incrpcorr( [mx, my] )
: compute a 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.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.incrsummary()
: compute a statistical summary incrementally.incrvariance( [mean] )
: compute an unbiased sample variance incrementally.
var getKeys = require( '@stdlib/utils/keys' );
var ns = require( '@stdlib/stats' );
console.log( getKeys( ns ) );