treeDA: Tree-Based Discriminant Analysis

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: 0.0.4
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), grid, stats
Suggests: adaptiveGPCA (≥ 0.1), knitr (≥ 1.16), testthat (≥ 2.0.0), ape (≥ 5.1)
Published: 2018-06-26
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

Downloads:

Reference manual: treeDA.pdf
Vignettes: treeDA vignette
Package source: treeDA_0.0.4.tar.gz
Windows binaries: r-devel: treeDA_0.0.4.zip, r-devel-gcc8: treeDA_0.0.4.zip, r-release: treeDA_0.0.4.zip, r-oldrel: treeDA_0.0.4.zip
OS X binaries: r-release: treeDA_0.0.4.tgz, r-oldrel: treeDA_0.0.4.tgz
Old sources: treeDA archive

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