Tree-Based Discriminant Analysis [R package treeDA version 0.0.5]

Julia Fukuyama

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: 0.0.5

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年05月14日

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

Documentation:

Reference manual: treeDA.html , treeDA.pdf

Vignettes: treeDA vignette (source, R code)

Downloads:

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

Linking:

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