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SCGLR: Supervised Component Generalized Linear Regression
An extension of the Fisher Scoring Algorithm to combine PLS regression with GLM
estimation in the multivariate context. Covariates can also be grouped in themes.
| Version: |
3.0 |
| Depends: |
R (≥ 3.0.0) |
| Imports: |
Matrix, Formula, expm, graphics, ggplot2, grid, pROC, ade4 |
| Suggests: |
parallel, gridExtra |
| Published: |
2018-09-28 |
| DOI: |
10.32614/CRAN.package.SCGLR |
| Author: |
Guillaume Cornu 
[aut, cre],
Frederic Mortier [aut],
Catherine Trottier [aut],
Xavier Bry [aut],
Sylvie Gourlet-Fleury
[dtc]
(http://www.coforchange.eu/),
Claude Garcia
[dtc] (http://www.cofortips.org/) |
| Maintainer: |
Guillaume Cornu <gcornu at cirad.fr> |
| BugReports: |
https://github.com/SCnext/SCGLR/issues |
| License: |
CeCILL-2 | GPL-2 |
| URL: |
https://scnext.github.io/SCGLR, https://github.com/SCnext/SCGLR,
https://cran.r-project.org/package=SCGLR |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
SCGLR results |
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=SCGLR
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.