rofanova: Robust Functional Analysis of Variance

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>
License: GPL-3
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:, r-release:, r-oldrel:
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 dependencies:

Reverse imports: funcharts


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