multifamm: Multivariate Functional Additive Mixed Models

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>).

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
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
CRAN checks: multifamm results

Documentation:

Reference manual: multifamm.pdf

Downloads:

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-release (x86_64): multifamm_0.1.1.tgz, r-oldrel: multifamm_0.1.1.tgz

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