This package is considered a duplicate. The official version of this package is found at:https://wenjie2wang.r-universe.dev/abclass
Package: abclass 0.5.1
Wenjie Wang
abclass: Angle-Based Classification
Multi-category angle-based large-margin classifiers. See Zhang and Liu (2014) <doi:10.1093/biomet/asu017> for details.
Authors:
abclass_0.5.1.tar.gz
abclass_0.5.1.tar.gz(r-4.7-arm64)abclass_0.5.1.tar.gz(r-4.7-x86_64)abclass_0.5.1.tar.gz(r-4.6-arm64)abclass_0.5.1.tar.gz(r-4.6-x86_64)
abclass_0.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
abclass/json (API)
NEWS
| # Install 'abclass' in R: |
| install.packages('abclass', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/wenjie2wang/abclass/issues
Pkgdown/docs site:https://wwenjie.org
Uses libs:
Last updated from:e2152578d9. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 305 | ||
| linux-devel-x86_64 | OK | 244 | ||
| source / vignettes | OK | 311 | ||
| linux-release-arm64 | OK | 270 | ||
| linux-release-x86_64 | OK | 221 | ||
| wasm-release | OK | 163 |
Exports:abclassabclass_propscoreabclass.controlcv.abclasscv.momlcv.supclasset.abclasset.momlmomlsupclasssupclass.controlvertex
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Multi-Category Angle-Based Classification | abclass abclass.control |
| Estimate Propensity Score by the Angle-Based Classifiers | abclass_propscore |
| Coefficient Estimates of A Trained Angle-Based Classifier | coef.abclass |
| Coefficient Estimates of A Trained Sup-Norm Classifier | coef.supclass |
| Tune Angle-Based Classifiers by Cross-Validation | cv.abclass |
| MOML with Cross-Validation | cv.moml |
| Tune Sup-Norm Classifiers by Cross-Validation | cv.supclass |
| Tune Angle-Based Classifiers by ET-Lasso | et.abclass |
| MOML with ET-Lasso | et.moml |
| Multi-Category Outcome-Weighted Margin-Based Learning (MOML) | moml moml.control |
| Prediction by A Trained Angle-Based Classifier | predict.abclass |
| Predictions from A Trained Sup-Norm Classifier | predict.supclass |
| Multi-Category Classifiers with Sup-Norm Regularization | supclass supclass.control |
| Simplex Vertices for The Angle-Based Classification | vertex |
