Package: robqda 1.0
Michail Tsagris
robqda: Robust Quadratic Discriminant Analysis
The minimum covariance determinant estimator is used to perform robust quadratic discriminant analysis, including cross-validation. References: Friedman J., Hastie T. and Tibshirani R. (2009). "The elements of statistical learning", 2nd edition. Springer, Berlin. <doi:10.1007/978-0-387-84858-7>.
Authors:
robqda_1.0.tar.gz
robqda_1.0.tar.gz(r-4.7-any)robqda_1.0.tar.gz(r-4.6-any)
robqda_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
robqda/json (API)
| # Install 'robqda' in R: |
| install.packages('robqda', 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:6e6502068c. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 118 | ||
| source / vignettes | OK | 163 | ||
| linux-release-x86_64 | OK | 114 | ||
| wasm-release | OK | 114 |
Dependencies:BHMASSRcppRcppArmadilloRcppParallelRfastRfast2Rnanoflannzigg
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Robust Quadratic Discriminant Analysis | robqda-package |
| Cross-validation for the robust quadratic discriminant analysis | robqda.cv |
| Robust quadratic discriminant analysis | robqda |