Compute a sample Pearson product-moment correlation matrix incrementally.

Compute an unbiased sample covariance incrementally.

Compute a sample Pearson product-moment correlation distance matrix incrementally.

Compute a sample absolute Pearson product-moment correlation coefficient.

Compute an unbiased sample covariance matrix incrementally.

Compute a moving sample absolute Pearson product-moment correlation coefficient incrementally.

Compute a moving sample Pearson product-moment correlation coefficient incrementally.

Compute a squared sample Pearson product-moment correlation coefficient.

Compute a moving squared sample Pearson product-moment correlation coefficient incrementally.

Compute a moving unbiased sample covariance incrementally.

Compute a sample Pearson product-moment correlation coefficient.

Calculate the covariance of two single-precision floating-point strided arrays provided known means and using a one-pass textbook algorithm.

Compute the covariance of two one-dimensional single-precision floating-point ndarrays provided known means and using a one-pass textbook algorithm.

Compute the covariance of two one-dimensional ndarrays provided known means and using a one-pass textbook algorithm.

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.

Compute the covariance of two one-dimensional double-precision floating-point ndarrays provided known means and using a one-pass textbook algorithm.

Calculate the covariance of two double-precision floating-point strided arrays provided known means and using a one-pass textbook algorithm.

Calculate the covariance of two strided arrays provided known means and using a one-pass textbook algorithm.