Package: easyCODA
Type: Package
Version: 0.40.2
Date: 2024-08-25
Title: Compositional Data Analysis in Practice
Authors@R: person(given = "Michael",
                    family = "Greenacre",
                    role = c("aut", "cre"),
                    email = "michael.greenacre@upf.edu")
Author: Michael Greenacre [aut, cre]
Imports: ca (>= 0.7), vegan (>= 2.3), ellipse (>= 0.4.1)
Maintainer: Michael Greenacre <michael.greenacre@upf.edu>
Description: Univariate and multivariate methods for compositional data 
    analysis, based on logratios. The package implements the approach in the
    book Compositional Data Analysis in Practice by Michael Greenacre (2018),
    where accent is given to simple pairwise logratios. Selection can be made
    of logratios that account for a maximum percentage of logratio variance.
    Various multivariate analyses of logratios are included in the package. 
License: GPL
URL: https://github.com/michaelgreenacre/CODAinPractice/
NeedsCompilation: no
Packaged: 2024-08-27 14:25:12 UTC; rforge
Repository: CRAN
Repository/R-Forge/Project: easycoda
Repository/R-Forge/Revision: 53
Repository/R-Forge/DateTimeStamp: 2024-08-27 14:20:20
Date/Publication: 2024-08-27 15:00:05 UTC
Depends: R (>= 2.10)
Built: R 4.6.0; ; 2026-04-27 16:27:49 UTC; unix
