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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=treeDA to link to this page.
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