The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| 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:
Please use the canonical form
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.
Health stats visible at Monitor.