Package: folda 0.2.0

Siyu Wang

folda: Forward Stepwise Discriminant Analysis with Pillai's Trace

A novel forward stepwise discriminant analysis framework that integrates Pillai's trace with Uncorrelated Linear Discriminant Analysis (ULDA), providing an improvement over traditional stepwise LDA methods that rely on Wilks' Lambda. A stand-alone ULDA implementation is also provided, offering a more general solution than the one available in the 'MASS' package. It automatically handles missing values and provides visualization tools. For more details, see Wang (2024) <doi:10.48550/arXiv.2409.03136>.

Authors:Siyu Wang [aut, cre, cph]

folda_0.2.0.tar.gz
folda_0.2.0.tar.gz(r-4.5-noble)folda_0.2.0.tar.gz(r-4.4-noble)
folda_0.2.0.tgz(r-4.4-emscripten)folda_0.2.0.tgz(r-4.3-emscripten)
folda.pdf |folda.html
folda/json (API)
NEWS

# Install 'folda' in R:
install.packages('folda', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/moran79/folda/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

3.48 score 1 packages 6 scripts 130 downloads 6 exports 30 dependencies

Last updated 1 days agofrom:db2c7cefcf. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-linux-x86_64OKOct 30 2024

Exports:checkPriorAndMisClassCostfoldagetChiSqStatgetDataInShapegetModemissingFix

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalestibbleutf8vctrsviridisLitewithr

Introduction to folda

Rendered fromfolda.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2024-10-29
Started: 2024-09-12