@stdlib/stats-incr-mda
Compute the mean directional accuracy (MDA) incrementally.
0.2.2 • Published 12 months ago
Accumulator Packages
@stdlib/stats-incr-me
Compute the mean error (ME) incrementally.
@stdlib/stats-incr-mean
Compute an arithmetic mean incrementally.
@stdlib/stats-incr-meanabs
Compute an arithmetic mean of absolute values incrementally.
@stdlib/stats-incr-mmape
Compute a moving mean absolute percentage error (MAPE) incrementally.
@stdlib/stats-incr-mmax
Compute a moving maximum incrementally.
@stdlib/stats-incr-covariance
Compute an unbiased sample covariance incrementally.
@stdlib/stats-incr-sum
Compute a sum incrementally.
@stdlib/stats-incr-sumabs
Compute a sum of absolute values incrementally.
@stdlib/stats-incr-sumabs2
Compute a sum of squared absolute values incrementally.
@stdlib/stats-incr-summary
Compute a statistical summary incrementally.
@stdlib/stats-incr-sumprod
Compute a sum of products incrementally.
@stdlib/stats-incr-variance
Compute an unbiased sample variance incrementally.
@stdlib/stats-incr-vmr
Compute a variance-to-mean ratio (VMR) incrementally.
@stdlib/stats-incr-wmean
Compute a weighted arithmetic mean incrementally.
@stdlib/stats-incr-nansumabs2
Compute a sum of squared absolute values incrementally, ignoring NaN values.
@stdlib/stats-incr-pcorr
Compute a sample Pearson product-moment correlation coefficient.
@stdlib/stats-incr-pcorr2
Compute a squared sample Pearson product-moment correlation coefficient.
@stdlib/stats-incr-pcorrdist
Compute a sample Pearson product-moment correlation distance.
@stdlib/stats-incr-pcorrdistmat
Compute a sample Pearson product-moment correlation distance matrix incrementally.