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 |
| 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 |