Package: transDA 1.0.0
Jing Li
transDA: Transformation Discriminant Analysis
Performs transformation discrimination analysis and non-transformation discrimination analysis. It also includes functions for Linear Discriminant Analysis, Quadratic Discriminant Analysis, and Mixture Discriminant Analysis. In the context of mixture discriminant analysis, it offers options for both common covariance matrix (common sigma) and individual covariance matrices (uncommon sigma) for the mixture components.
Authors:
transDA_1.0.0.tar.gz
transDA_1.0.0.tar.gz(r-4.5-noble)transDA_1.0.0.tar.gz(r-4.4-noble)
transDA_1.0.0.tgz(r-4.4-emscripten)transDA_1.0.0.tgz(r-4.3-emscripten)
transDA.pdf |transDA.html✨
transDA/json (API)
| # Install 'transDA' in R: |
| install.packages('transDA', 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 4 days agofrom:7a40ed87a6. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 25 2024 |
| R-4.5-linux | OK | Nov 25 2024 |
Exports:predict.tdaprint.summary.tdaprint.tdasummary.tdatda
Dependencies:mvtnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Transformation Discriminant Analysis | transDA-package transDA |
| Classification of new observations based on the model obtained by function ''tda'' | predict.tda |
| Summarizing discriminant analysis results from function ''tda'' | print.summary.tda summary.tda |
| Transformation Discriminant Analysis | print.tda tda |