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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 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

Documentation:

Reference manual: rofanova.pdf

Downloads:

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 dependencies:

Reverse imports: funcharts

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rofanova to link to this page.

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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