Package: jvcoords 1.0.3

jvcoords: Principal Component Analysis (PCA) and Whitening

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.

Authors:Jochen Voss [aut, cre]

jvcoords_1.0.3.tar.gz
jvcoords_1.0.3.zip(r-4.7)jvcoords_1.0.3.zip(r-4.6)jvcoords_1.0.3.zip(r-4.5)
jvcoords_1.0.3.tgz(r-4.6-any)jvcoords_1.0.3.tgz(r-4.5-any)
jvcoords_1.0.3.tar.gz(r-4.7-any)jvcoords_1.0.3.tar.gz(r-4.6-any)
jvcoords_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
jvcoords/json (API)
NEWS

# Install 'jvcoords' in R:
install.packages('jvcoords', repos = c('https://seehuhn.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/seehuhn/jvcoords/issues

On CRAN:

Conda:

2.15 score 14 scripts 227 downloads 7 exports 0 dependencies

Last updated from:5a1a3a2444. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK96
source / vignettesOK152
linux-release-x86_64OK111
macos-release-arm64OK186
macos-oldrel-arm64OK154
windows-develOK65
windows-releaseOK66
windows-oldrelOK55
wasm-releaseOK85

Exports:appendTrfmcoordsfromCoordsPCAstandardizetoCoordswhiten

Dependencies: