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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
to link to this page.
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.
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