gmtFD: General Multiple Tests for Univariate and Multivariate Functional Data

The multiple contrast tests for univariate were proposed by Munko, Ditzhaus, Pauly, Smaga, and Zhang (2023) <doi:10.48550/arXiv.2306.15259>. Recently, they were extended to the multivariate functional data in Munko, Ditzhaus, Pauly, and Smaga (2024) <doi:10.48550/arXiv.2406.01242>. These procedures enable us to evaluate the overall hypothesis regarding equality, as well as specific hypotheses defined by contrasts. In particular, we can perform post hoc tests to examine particular comparisons of interest. Different experimental designs are supported, e.g., one-way and multi-way analysis of variance for functional data.

Version: 0.1.0
Imports: Rcpp (≥ 1.0.11), doParallel, MASS, foreach, Matrix, GFDmcv, fda
LinkingTo: Rcpp, RcppArmadillo
Published: 2024-06-10
DOI: 10.32614/CRAN.package.gmtFD
Author: Marc Ditzhaus [aut], Merle Munko [aut], Markus Pauly [aut], Lukasz Smaga [aut, cre]
Maintainer: Lukasz Smaga <ls at>
License: LGPL-2 | LGPL-3 | GPL-2 | GPL-3
NeedsCompilation: yes
In views: FunctionalData
CRAN checks: gmtFD results


Reference manual: gmtFD.pdf


Package source: gmtFD_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): gmtFD_0.1.0.tgz, r-oldrel (arm64): gmtFD_0.1.0.tgz, r-release (x86_64): gmtFD_0.1.0.tgz, r-oldrel (x86_64): gmtFD_0.1.0.tgz


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