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>).">

multifamm: Multivariate Functional Additive Mixed Models (original) (raw)

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
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README, NEWS
In views: FunctionalData
CRAN checks: multifamm results

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