Package: jvcoords
Type: Package
Title: Principal Component Analysis (PCA) and Whitening
Version: 1.0.3
Date: 2021-06-05
Authors@R: person("Jochen", "Voss", email="voss@seehuhn.de",
		  role=c("aut", "cre"),
		  comment = c(ORCID = "0000-0002-2323-3814"))
License: GPL-3
URL: https://github.com/seehuhn/jvcoords
Description: Provides functions to standardize and whiten data, and to
        perform Principal Component Analysis (PCA).  The main advantage
        of this package over alternatives like prcomp() is, that
        jvcoords makes it easy to convert (additional) data between the
        original and the transformed coordinates.  The package also
        provides a class coords, which can represent affine coordinate
        transformations.  This class forms the basis of the
        transformations provided by the package, but can also be used
        independently.  The implementation has been optimized to be of
        comparable speed (and sometimes even faster) than existing
        alternatives.
Repository: https://seehuhn.r-universe.dev
Date/Publication: 2021-06-05 16:43:02 UTC
RemoteUrl: https://github.com/seehuhn/jvcoords
RemoteRef: HEAD
RemoteSha: 5a1a3a2444b14e3bf42b847a4e6cd53725baf29f
NeedsCompilation: no
Packaged: 2026-10-09 08:15:59 UTC; root
Author: Jochen Voss [aut, cre] (ORCID: <https://orcid.org/0000-0002-2323-3814>)
Maintainer: Jochen Voss <voss@seehuhn.de>