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The provided package implements multiple contrast tests for functional data (Munko et al., 2023, <doi:10.48550/arXiv.2306.15259>). 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: | doParallel, MASS, foreach, Matrix, GFDmcv, fda |
| Published: | 2023-07-06 |
| DOI: | 10.32614/CRAN.package.multiFANOVA |
| Author: | Marc Ditzhaus [aut], Merle Munko [aut], Markus Pauly [aut], Lukasz Smaga [aut, cre], Jin-Ting Zhang [aut] |
| Maintainer: | Lukasz Smaga <ls at amu.edu.pl> |
| License: | LGPL-2 | LGPL-3 | GPL-2 | GPL-3 |
| NeedsCompilation: | no |
| In views: | FunctionalData |
| CRAN checks: | multiFANOVA results |
| Reference manual: | multiFANOVA.pdf |
| Package source: | multiFANOVA_0.1.0.tar.gz |
| Windows binaries: | r-devel: multiFANOVA_0.1.0.zip, r-release: multiFANOVA_0.1.0.zip, r-oldrel: multiFANOVA_0.1.0.zip |
| macOS binaries: | r-release (arm64): multiFANOVA_0.1.0.tgz, r-oldrel (arm64): multiFANOVA_0.1.0.tgz, r-release (x86_64): multiFANOVA_0.1.0.tgz, r-oldrel (x86_64): multiFANOVA_0.1.0.tgz |
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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.