Routines for PLS-based genomic analyses,
implementing PLS methods for classification with
microarray data and prediction of transcription factor
activities from combined ChIP-chip analysis. The >=1.2-1
versions include two new classification methods for microarray
data: GSIM and Ridge PLS. The >=1.3 versions includes a
new classification method combining variable selection and
compression in logistic regression context: logit-SPLS; and
an adaptive version of the sparse PLS.
| Version: |
1.5-2 |
| Depends: |
R (≥ 3.0) |
| Imports: |
MASS, boot, parallel, reshape2, plyr, fields, RhpcBLASctl |
| Published: |
2018-08-24 |
| Author: |
Anne-Laure Boulesteix,
Ghislain Durif,
Sophie Lambert-Lacroix, Julie Peyre, and Korbinian Strimmer. |
| Maintainer: |
Ghislain Durif <gd.dev at libertymail.net> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://CRAN.R-project.org/package=plsgenomics |
| NeedsCompilation: |
no |
| Materials: |
README |
| In views: |
Multivariate |
| CRAN checks: |
plsgenomics results |