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:
groc_1.0.10.tar.gz
groc_1.0.10.zip(r-4.7-x86_64)groc_1.0.10.zip(r-4.7-arm64)groc_1.0.10.zip(r-4.6-x86_64)groc_1.0.10.zip(r-4.6-arm64)groc_1.0.10.zip(r-4.5-x86_64)
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✨
DESCRIPTION
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:669004817d. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 118 | ||
| linux-devel-x86_64 | OK | 118 | ||
| source / vignettes | OK | 198 | ||
| linux-release-arm64 | OK | 134 | ||
| linux-release-x86_64 | OK | 165 | ||
| macos-release-arm64 | OK | 117 | ||
| macos-release-x86_64 | OK | 234 | ||
| macos-oldrel-arm64 | OK | 112 | ||
| macos-oldrel-x86_64 | OK | 391 | ||
| windows-devel-arm64 | OK | 207 | ||
| windows-devel-x86_64 | OK | 116 | ||
| windows-release-arm64 | OK | 225 | ||
| windows-release-x86_64 | OK | 91 | ||
| windows-oldrel-x86_64 | OK | 93 | ||
| wasm-release | OK | 93 |
Exports:corrobcovrobcovRobcovRob.controldcovgrocgroc.defaultgrocCrossvalgrocfitplot.grocpredict.grocprint.grocsummary.groc
Dependencies:DEoptimRlatticeMASSMatrixmgcvmvtnormnlmepcaPPplsrobustbaserrcov
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Near-Infrared (NIR) Spectroscopy of Biscuit Doughs | cookie |
| Robust correlation measure | corrob |
| Robust covariance measure | covrob |
| Robust Covariance/Correlation Matrix Estimation | covRob |
| Control Parameters for Robust Covariance Estimation | covRob.control |
| Distance covariance matrix. | dcov |
| groc method | groc groc.default |
| Cross-validation of groc models | grocCrossval |
| Fitting a groc model | groc.fit grocfit |
| Extract Information From a Fitted groc Model | model.frame.groc model.matrix.groc |
| Plot groc objects. | plot.groc |
| Predict Method for groc | predict.groc |
| prim7 Dataset | prim7 |
| Summary and Print Methods for groc objects | print.groc summary.groc |