@stdlib/stats-incr-mapcorr
Compute a moving sample absolute Pearson product-moment correlation coefficient incrementally.
@stdlib/stats-incr-covmat
Compute an unbiased sample covariance matrix incrementally.
@stdlib/stats-incr-covariance
Compute an unbiased sample covariance incrementally.
stats-incr-pcorr
Compute a sample Pearson product-moment correlation coefficient.
@stdlib/stats-incr-apcorr
Compute a sample absolute Pearson product-moment correlation coefficient.
@stdlib/stats-incr-pcorrmat
Compute a sample Pearson product-moment correlation matrix incrementally.
@stdlib/stats-incr-pcorrdistmat
Compute a sample Pearson product-moment correlation distance matrix incrementally.
@stdlib/stats-incr-mcovariance
Compute a moving unbiased sample covariance incrementally.
@stdlib/stats-incr-mpcorr
Compute a moving sample Pearson product-moment correlation coefficient incrementally.
@stdlib/stats-incr-pcorr2
Compute a squared sample Pearson product-moment correlation coefficient.
@stdlib/stats-incr-mpcorr2
Compute a moving squared sample Pearson product-moment correlation coefficient incrementally.
stats-base-ndarray-dcovarmtk
Compute the covariance of two one-dimensional double-precision floating-point ndarrays provided known means and using a one-pass textbook algorithm.
stats-strided-dcovarmtk
Calculate the covariance of two double-precision floating-point strided arrays provided known means and using a one-pass textbook algorithm.
stats-strided-dcovmatmtk
Compute the covariance matrix for an `M` by `N` double-precision floating-point matrix `A` and assigns the results to a matrix `B` when provided known means and using a one-pass textbook algorithm.