Functionality for tailoring the choice of which principal components to keep when detection of changepoints in the mean vector or covariance matrix is the aim. The choice of principal axes to project data onto is based on a normal state covariance matrix and a customizable distribution over relevant change scenarios.
|Maintainer||Martin Tveten <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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