Package: dawai 1.2.8
David Conde
dawai: Discriminant Analysis with Additional Information
In applications it is usual that some additional information is available. This package dawai (an acronym for Discriminant Analysis With Additional Information) performs linear and quadratic discriminant analysis with additional information expressed as inequality restrictions among the populations means. It also computes several estimations of the true error rate.
Authors:
dawai_1.2.8.tar.gz
dawai_1.2.8.zip(r-4.7-x86_64)dawai_1.2.8.zip(r-4.7-arm64)dawai_1.2.8.zip(r-4.6-x86_64)dawai_1.2.8.zip(r-4.6-arm64)
dawai_1.2.8.tar.gz(r-4.7-arm64)dawai_1.2.8.tar.gz(r-4.7-x86_64)dawai_1.2.8.tar.gz(r-4.6-arm64)dawai_1.2.8.tar.gz(r-4.6-x86_64)
dawai_1.2.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
dawai/json (API)
| # Install 'dawai' in R: |
| install.packages('dawai', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- Vehicle2 - Vehicle Silhouettes 2
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:d9a25380be. Checks:10 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 136 | ||
| linux-devel-x86_64 | OK | 134 | ||
| source / vignettes | OK | 165 | ||
| linux-release-arm64 | OK | 110 | ||
| linux-release-x86_64 | OK | 125 | ||
| windows-devel-arm64 | OK | 250 | ||
| windows-devel-x86_64 | OK | 115 | ||
| windows-release-arm64 | OK | 200 | ||
| windows-release-x86_64 | OK | 126 | ||
| wasm-release | OK | 108 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Discriminant analysis with additional information | dawai-package dawai |
| Restricted Discriminant Analysis. True Error Rate estimation | err.est |
| Restricted Linear Discriminant Analysis. True Error Rate estimation | err.est.rlda |
| Restricted Quadratic Discriminant Analysis. True Error Rate Estimation | err.est.rqda |
| Minimize Inequality Constrained Mahalanobis Distance | lsConstrain.fit |
| Restricted Linear Discriminant Analysis. Multivariate Observations Classification | predict.rlda |
| Restricted Quadratic Discriminant Analysis. Multivariate Observations Classification | predict.rqda |
| Restricted Linear Discriminant Analysis | rlda rlda.data.frame rlda.default rlda.formula rlda.matrix |
| Restricted Quadratic Discriminant Analysis | rqda rqda.data.frame rqda.default rqda.formula rqda.matrix |
| Vehicle Silhouettes 2 | Vehicle2 |