Package: acca
Version: 0.2
Date: 2022-01-28
Title: A Canonical Correlation Analysis with Inferential Guaranties
Author: Livio Finos
Maintainer: livio finos <livio.finos@unipd.it>
Description: It performs Canonical Correlation Analysis and provides
        inferential guaranties on the correlation components. The
        p-values are computed following the resampling method developed
        in Winkler, A. M., Renaud, O., Smith, S. M., & Nichols, T. E.
        (2020). Permutation inference for canonical correlation
        analysis. NeuroImage, <doi:10.1016/j.neuroimage.2020.117065>.
        Furthermore, it provides plotting tools to visualize the
        results.
Encoding: UTF-8
License: GPL (>= 2)
RoxygenNote: 7.1.2
Imports: methods, stats, ggplot2, plyr
NeedsCompilation: no
Packaged: 2026-09-21 07:49:32 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2022-01-28 07:10:02 UTC
RemoteUrl: https://github.com/cran/acca
RemoteRef: HEAD
RemoteSha: ead6266ce1bdc2568b70a6e531a897eb8d03ae88