Performs sparse discriminant analysis on a combination of node and leaf predictors when the predictor variables are structured according to a tree, as described in Fukuyama et al. (2017) <doi:10.1371/journal.pcbi.1005706>.
| Version: | 0.0.5 |
| Depends: | R (≥ 3.4.0) |
| Imports: | sparseLDA (≥ 0.1.9), Matrix (≥ 1.2.10), mvtnorm (≥ 1.0.6), reshape2 (≥ 1.4.2), gtable (≥ 0.2.0), phyloseq (≥ 1.22.3), ggplot2 (≥ 2.2.1), ape (≥ 5.1), grid, stats |
| Suggests: | adaptiveGPCA (≥ 0.1), knitr (≥ 1.16), testthat (≥ 2.0.0), markdown, rmarkdown |
| Published: | 2021-05-14 |
| DOI: | 10.32614/CRAN.package.treeDA |
| Author: | Julia Fukuyama [aut, cre] |
| Maintainer: | Julia Fukuyama <julia.fukuyama at gmail.com> |
| License: | GPL-2 |
| URL: | https://github.com/jfukuyama/treeda |
| NeedsCompilation: | no |
| CRAN checks: | treeDA results |
| Reference manual: | treeDA.html , treeDA.pdf |
| Vignettes: |
treeDA vignette (source, R code) |
| Package source: | treeDA_0.0.5.tar.gz |
| Windows binaries: | r-devel: treeDA_0.0.5.zip, r-release: treeDA_0.0.5.zip, r-oldrel: treeDA_0.0.5.zip |
| macOS binaries: | r-release (arm64): treeDA_0.0.5.tgz, r-oldrel (arm64): treeDA_0.0.5.tgz, r-release (x86_64): treeDA_0.0.5.tgz, r-oldrel (x86_64): treeDA_0.0.5.tgz |
| Old sources: | treeDA archive |
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