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>.
|Author||Jan Graffelman <firstname.lastname@example.org>|
|Maintainer||Jan Graffelman <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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