Package: QuanDA 1.0.0
Qian Tang
QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification
Implements quantile-based discriminant analysis (QuanDA) for imbalanced classification in high-dimensional, low-sample-size settings. The method fits penalized quantile regression directly on discrete class labels and tunes the quantile level to reflect class imbalance.
Authors:
QuanDA_1.0.0.tar.gz
QuanDA_1.0.0.tar.gz(r-4.7-any)QuanDA_1.0.0.tar.gz(r-4.6-any)
QuanDA_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
QuanDA/json (API)
| # Install 'QuanDA' in R: |
| install.packages('QuanDA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f3560cfafb. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 125 | ||
| source / vignettes | OK | 155 | ||
| linux-release-x86_64 | OK | 118 | ||
| wasm-release | OK | 94 |
Exports:quanda
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Example breast cancer data | breast X y |
| Make Predictions from a `quanda` Object | predict.quanda |
| Fit QuanDA for imbalanced binary classification | quanda |