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Shiny R application repository for rmfanova package Repeated Measures Analysis of Variance for Functional Data

R Package: gmtFD General Multiple Tests for Univariate and Multivariate Functional Data

Authors: Marc Ditzhaus, Merle Munko, Markus Pauly, Łukasz Smaga (creator and maintainer)
Description: Performs multiple testing for univariate and multivariate functional data.
Available at: CRAN
Package installation:
install.packages("gmtFD")

R Package: multiFANOVA Multiple Contrast Tests for Functional Data

Authors: Marc Ditzhaus, Merle Munko, Markus Pauly, Łukasz Smaga (creator and maintainer), Jin-Ting Zhang
Description: Performs multiple contrast tests for functional data.
Available at: CRAN
Package installation:
install.packages("multiFANOVA")

R Package: rmfanova Repeated Measures Functional Analysis of Variance

Authors: Katarzyna Kuryło, Łukasz Smaga (maintainer)
Description: Performs repeated measures analysis of variance for univariate functional data.
Available at: CRAN
Package installation:
install.packages("rmfanova")
Shiny R application for this package

R Package: GFDmcv General Hypothesis Testing Problems for Multivariate Coefficients of Variation

Authors: Marc Ditzhaus, Łukasz Smaga (creator and maintainer)
Description: Performs tests for general hypothesis for univariate and multivariate coefficients of variation.
Available at: CRAN
Package installation:
install.packages("GFDmcv")

R Package: fdANOVA Analysis of Variance for Univariate and Multivariate Functional Data

Authors: Tomasz Górecki, Łukasz Smaga (maintainer)
Description: Performs analysis of variance testing procedures for univariate and multivariate functional data.
Available at: CRAN
Package installation:
install.packages("fdANOVA")

R Package: mfds Multivariate Functional Data Sets

Authors: Tomasz Górecki (maintainer), Łukasz Smaga
Description: The package includes fifteen labeled multivariate functional data sets. The data sets were created from multivariate time series data available in the literature by extending all variables to the same length. They originate from different domains, including handwriting recognition, medicine, robotics, etc. The data sets can be used for illustrating and evaluating practical efficiency of classification and statistical inference methods.
Available at: GitHub
Package installation:
library(devtools)
install_github("Halmaris/mfds")
Package manual