Tree-Based Discriminant Analysis
Overview
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.
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR11 OK, 1 ERROR, 1 FAILURE2026-06-08
- OK14 OK2026-03-16
Show 3 earlier changesHide 3 earlier changes
- ERROR13 OK, 1 ERROR2026-03-13
- OK14 OK2026-03-12
- ERROR13 OK, 1 ERROR2026-03-10
Documentation
- Help pages
- 22 (8 internal)includes a package overview page
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 43%
- Documented parameters
- 100%
- Return-value docs
- 86%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- not measured
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/jfukuyama/treeda on 2026-10-22.
Dependencies
Installing treeDA adds 30 packages (17 with compiled code, 31 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, Rcpp 1.8 MB. 1 more not on CRAN is not measured.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.0.5Latest
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.0.42018-06-27 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.0.3
- 0.0.22017-07-25
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-07-25
- Total releases
- 4 / 9 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.4.0
- Bundled data
- 40 KB / 1 file
- Download size
- 622 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("treeDA")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.