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 |