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An implementation for multivariate functional additive mixed models (multiFAMM), see Volkmann et al. (2021, <doi:10.48550/arXiv.2103.06606>). It builds on developed methods for univariate sparse functional regression models and multivariate functional principal component analysis. This package contains the function to run a multiFAMM and some convenience functions useful when working with large models. An additional package on GitHub contains more convenience functions to reproduce the analyses of the corresponding paper (<https://github.com/alexvolkmann/multifammPaper>).
| Version: | 0.1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | data.table, funData, MFPCA (≥ 1.3-2), mgcv, sparseFLMM (> 0.3.0), stats, zoo |
| Published: | 2021-09-28 |
| DOI: | 10.32614/CRAN.package.multifamm |
| Author: | Alexander Volkmann [aut, cre] |
| Maintainer: | Alexander Volkmann <alexandervolkmann8 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | FunctionalData |
| CRAN checks: | multifamm results |
| Reference manual: | multifamm.pdf |
| Package source: | multifamm_0.1.1.tar.gz |
| Windows binaries: | r-devel: multifamm_0.1.1.zip, r-release: multifamm_0.1.1.zip, r-oldrel: multifamm_0.1.1.zip |
| macOS binaries: | r-release (arm64): multifamm_0.1.1.tgz, r-oldrel (arm64): multifamm_0.1.1.tgz, r-release (x86_64): multifamm_0.1.1.tgz, r-oldrel (x86_64): multifamm_0.1.1.tgz |
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