plsr: Pleasure - Partial Least Squares Analysis with Permutation
Testing
Provides partial least squares analysis for the analysis of the relation
between two high-dimensional data sets. Includes permutation testing and
bootstrapping for resulting latent variables (following McIntosh & Lobaugh (2004) <doi:10.1016/j.neuroimage.2004.07.020>)
and several visualization functions.
| Version: |
0.0.1 |
| Depends: |
R (≥ 2.10) |
| Imports: |
boot, ggplot2, reshape2, shiny |
| Suggests: |
knitr, rmarkdown |
| Published: |
2019-02-26 |
| Author: |
Jan Niklas Schneider [aut, cre],
Timothy Raymond Brick [aut] |
| Maintainer: |
Jan Niklas Schneider <jan_schneider at live.de> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
plsr results |
Documentation:
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