An implementation for multivariate functional additive mixed models (multiFAMM), see Volkmann et al. (2021, <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>).
|Author||Alexander Volkmann [aut, cre]|
|Maintainer||Alexander Volkmann <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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