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:Jing Li [aut, cre], Yana Melnykov [aut]

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 = 'https://cloud.r-project.org')

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 97 downloads 5 exports 1 dependencies

Last updated 4 months agofrom:7a40ed87a6. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 25 2025
R-4.5-linuxOKMar 25 2025
R-4.4-linuxOKMar 25 2025

Exports:predict.tdaprint.summary.tdaprint.tdasummary.tdatda

Dependencies:mvtnorm

Citation

To cite package ‘transDA’ in publications use:

Li J, Melnykov Y (2024). transDA: Transformation Discriminant Analysis. R package version 1.0.0, https://CRAN.R-project.org/package=transDA.

Corresponding BibTeX entry: 

  @Manual{,
    title = {transDA: Transformation Discriminant Analysis},
    author = {Jing Li and Yana Melnykov},
    year = {2024},
    note = {R package version 1.0.0},
    url = {https://CRAN.R-project.org/package=transDA},
  }