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 (<>).

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>
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:, r-release:, r-oldrel:
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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