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 |
| Reference manual: | plsr.pdf |
| Vignettes: |
Vignette Title |
| Package source: | plsr_0.0.1.tar.gz |
| Windows binaries: | r-devel: plsr_0.0.1.zip, r-release: plsr_0.0.1.zip, r-oldrel: plsr_0.0.1.zip |
| macOS binaries: | r-release: plsr_0.0.1.tgz, r-oldrel: plsr_0.0.1.tgz |
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