Package: treeDA
Title: Tree-Based Discriminant Analysis
Version: 0.0.5
Authors@R: person("Julia", "Fukuyama", email = "julia.fukuyama@gmail.com",
    role = c("aut", "cre"))
Description: 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>.
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
VignetteBuilder: knitr
License: GPL-2
biocViews:
URL: https://github.com/jfukuyama/treeda
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2021-05-14 20:15:48 UTC; jfukuyam
Author: Julia Fukuyama [aut, cre]
Maintainer: Julia Fukuyama <julia.fukuyama@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-14 21:30:03 UTC
Built: R 4.6.0; ; 2026-04-28 12:34:07 UTC; unix
