npmjs.org : @stdlib/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.
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purl: pkg:npm/%40stdlib/stats-strided-dcovmatmtk
Keywords:
stdlib
, stdmath
, statistics
, stats
, mathematics
, math
, covariance
, covar
, sample covariance
, unbiased
, correlation
, variance
, strided
, strided array
, typed
, array
, float64
, double
, float64array
License: Apache-2.0
Latest release: 7 days ago
First release: 15 days ago
Namespace: stdlib
Funding links: https://opencollective.com/stdlib
Last synced: 3 days ago