Provides a variety of tools for the analysis of covariance operators including k-sample tests for equality and classification and clustering methods found in the works of Cabassi et al (2017) <doi:10.1214/17-EJS1347>, Kashlak et al (2017) <arXiv:1604.06310>, Pigoli et al (2014) <doi:10.1093/biomet/asu008>, and Panaretos et al (2010) <doi:10.1198/jasa.2010.tm09239>.
Version: | 1.1.0 |
Depends: | R (≥ 3.2.0) |
Imports: | stats, matlab, corrplot |
Suggests: | fds, knitr |
Published: | 2017-12-21 |
Author: | Alessandra Cabassi [aut], Adam B Kashlak [aut, cre], Davide Pigoli [ctb] |
Maintainer: | Adam B Kashlak <kashlak at ualberta.ca> |
BugReports: | https://github.com/acabassi/fdcov/issues |
License: | GPL-3 |
URL: | https://github.com/acabassi/fdcov |
NeedsCompilation: | no |
In views: | FunctionalData |
CRAN checks: | fdcov results |
Reference manual: | fdcov.pdf |
Vignettes: |
R package fdcov |
Package source: | fdcov_1.1.0.tar.gz |
Windows binaries: | r-devel: fdcov_1.1.0.zip, r-release: fdcov_1.1.0.zip, r-oldrel: fdcov_1.1.0.zip |
macOS binaries: | r-release: fdcov_1.1.0.tgz, r-oldrel: fdcov_1.1.0.tgz |
Old sources: | fdcov archive |
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