Performs sparse discriminant analysis on a combination of node and leaf predictors when the predictor variables are structured according to a tree.
Version: | 0.0.2 |
Depends: | R (≥ 3.4.1) |
Imports: | sparseLDA (≥ 0.1.9), Matrix (≥ 1.2.10), mvtnorm (≥ 1.0.6), reshape2 (≥ 1.4.2), gtable (≥ 0.2.0), grid (≥ 3.4.1), phyloseq (≥ 1.20.0), ggplot2 (≥ 2.2.1), stats (≥ 3.4.1) |
Suggests: | adaptiveGPCA (≥ 0.1), knitr (≥ 1.16) |
Published: | 2017-07-25 |
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.pdf |
Vignettes: |
treeDA vignette |
Package source: | treeDA_0.0.2.tar.gz |
Windows binaries: | r-devel: treeDA_0.0.2.zip, r-release: treeDA_0.0.2.zip, r-oldrel: not available |
OS X El Capitan binaries: | r-release: not available |
OS X Mavericks binaries: | r-oldrel: not available |
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