CRAN/E | treeDA

treeDA

Tree-Based Discriminant Analysis

Installation

About

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.

github.com/jfukuyama/treeda

Key Metrics

Version 0.0.5
R ≥ 3.4.0
Published 2021-05-14 1086 days ago
Needs compilation? no
License GPL-2
CRAN checks treeDA results

Downloads

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Last 7 days 53 -12%
Last 30 days 179 0%
Last 90 days 490 -31%
Last 365 days 2.223 -16%

Maintainer

Maintainer

Julia Fukuyama

julia.fukuyama@gmail.com

Authors

Julia Fukuyama

aut / cre

Material

Reference manual
Package source

Vignettes

treeDA vignette

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

treeDA archive

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