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Implements the robust functional analysis of variance (RoFANOVA), described in Centofanti et al. (2021) <doi:10.48550/arXiv.2112.10643>. It allows testing mean differences among groups of functional data by being robust against the presence of outliers.
Version: | 1.0.0 |
Depends: | fda.usc, robustbase |
Imports: | Rcpp, abind, parallel, stats |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | knitr, rmarkdown, testthat |
Published: | 2022-01-21 |
DOI: | 10.32614/CRAN.package.rofanova |
Author: | Fabio Centofanti [cre, aut], Bianca Maria Colosimo [aut], Marco Luigi Grasso [aut], Antonio Lepore [aut], Alessandra Menafoglio [aut], Biagio Palumbo [aut], Simone Vantini [aut] |
Maintainer: | Fabio Centofanti <fabio.centofanti at unina.it> |
BugReports: | https://github.com/unina-sfere/rofanova/issues |
License: | GPL-3 |
URL: | https://github.com/unina-sfere/rofanova |
NeedsCompilation: | yes |
SystemRequirements: | GNU make |
Materials: | README NEWS |
In views: | FunctionalData |
CRAN checks: | rofanova results |
Reference manual: | rofanova.pdf |
Package source: | rofanova_1.0.0.tar.gz |
Windows binaries: | r-devel: rofanova_1.0.0.zip, r-release: rofanova_1.0.0.zip, r-oldrel: rofanova_1.0.0.zip |
macOS binaries: | r-release (arm64): rofanova_1.0.0.tgz, r-oldrel (arm64): rofanova_1.0.0.tgz, r-release (x86_64): rofanova_1.0.0.tgz, r-oldrel (x86_64): rofanova_1.0.0.tgz |
Reverse imports: | funcharts |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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