Package: ToolsForCoDa
Type: Package
Title: Multivariate Tools for Compositional Data Analysis
Version: 1.1.0
Date: 2025-01-09
Authors@R: c(person("Jan", "Graffelman", role = c("aut", "cre"), email = "jan.graffelman@upc.edu"))
Author: Jan Graffelman [aut, cre]
Maintainer: Jan Graffelman <jan.graffelman@upc.edu>
Depends: R (>= 1.8.0), MASS, calibrate, Correlplot
Description: Provides functions for multivariate analysis with compositional data. Includes a function for doing compositional canonical correlation analysis.  This analysis requires two data matrices of compositions, which can be adequately transformed and used as entries in a specialized program for canonical correlation analysis, that is able to deal with singular covariance matrices. The methodology is described in Graffelman et al. (2017) <doi:10.1101/144584>. Functions for log-ratio principal component analysis with condition number computations and log-ratio discriminant analysis have been added to the package.
License: GPL (>= 2)
URL: https://www.r-project.org, http://www-eio.upc.edu/~jan/
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2025-01-09 10:32:12 UTC; TanitSunShine
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2025-01-09 11:00:05 UTC
Built: R 4.6.0; ; 2026-04-28 12:23:51 UTC; unix
