Package: groc 1.0.10

groc: Generalized Regression on Orthogonal Components

Robust multiple or multivariate linear regression, nonparametric regression on orthogonal components, classical or robust partial least squares models as described in Bilodeau, Lafaye De Micheaux and Mahdi (2015) <doi:10.18637/jss.v065.i01>.

Authors:Pierre Lafaye De Micheaux [aut, cre], Martin Bilodeau [aut], Jiahui Wang [cph], Ruben Zamar [cph], Alfio Marazzi [cph], Victor Yohai [cph], Matias Salibian-Barrera [cph], Ricardo Maronna [cph], Eric Zivot [cph], David Rocke [cph], Doug Martin [cph], Martin Maechler [cph], Kjell Konis [cph]

groc_1.0.10.tar.gz
groc_1.0.10.zip(r-4.7)groc_1.0.10.zip(r-4.6)groc_1.0.10.zip(r-4.5)
groc_1.0.10.tgz(r-4.6-x86_64)groc_1.0.10.tgz(r-4.6-arm64)groc_1.0.10.tgz(r-4.5-x86_64)groc_1.0.10.tgz(r-4.5-arm64)
groc_1.0.10.tar.gz(r-4.7-arm64)groc_1.0.10.tar.gz(r-4.7-x86_64)groc_1.0.10.tar.gz(r-4.6-arm64)groc_1.0.10.tar.gz(r-4.6-x86_64)
groc_1.0.10.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
groc/json (API)

# Install 'groc' in R:
install.packages('groc', repos = c('https://lafaye.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • cookie - Near-Infrared (NIR) Spectroscopy of Biscuit Doughs
  • prim7 - Prim7 Dataset

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.65 score 1 packages 15 scripts 207 downloads 13 exports 11 dependencies

Last updated from:669004817d. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK126
linux-devel-x86_64OK159
source / vignettesOK168
linux-release-arm64OK136
linux-release-x86_64OK169
macos-release-arm64OK128
macos-release-x86_64OK366
macos-oldrel-arm64OK124
macos-oldrel-x86_64OK207
windows-develOK166
windows-releaseOK114
windows-oldrelOK118
wasm-releaseOK99

Exports:corrobcovrobcovRobcovRob.controldcovgrocgroc.defaultgrocCrossvalgrocfitplot.grocpredict.grocprint.grocsummary.groc

Dependencies:DEoptimRlatticeMASSMatrixmgcvmvtnormnlmepcaPPplsrobustbaserrcov