Package: ToolsForCoDa
Type: Package
Title: Multivariate Tools for Compositional Data Analysis
Version: 1.0.6
Date: 2021-09-18
Author: Jan Graffelman <jan.graffelman@upc.edu>
Maintainer: Jan Graffelman <jan.graffelman@upc.edu>
Depends: R (>= 1.8.0), MASS, calibrate, HardyWeinberg
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>. A function for log-ratio principal component analysis with condition number computations has been added to the package.
License: GPL (>= 2)
URL: www.R-project.org, http://www-eio.upc.edu/~jan/
NeedsCompilation: no
Packaged: 2021-09-19 18:20:26 UTC; jangr
Repository: CRAN
Date/Publication: 2021-09-20 14:30:02 UTC
Built: R 4.0.2; ; 2021-09-21 11:25:38 UTC; unix
