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 (alexvolkmann/multifammPaper).
Package details |
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Maintainer | |
License | GPL (>= 2) |
Version | 0.1.1 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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