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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>).

Versions across snapshots

VersionRepositoryFileSize
0.1.1 rolling linux/jammy R-4.5 multifamm_0.1.1.tar.gz 2.6 MiB
0.1.1 rolling linux/noble R-4.5 multifamm_0.1.1.tar.gz 2.6 MiB
0.1.1 rolling source/ R- multifamm_0.1.1.tar.gz 2.6 MiB
0.1.1 latest linux/jammy R-4.5 multifamm_0.1.1.tar.gz 2.6 MiB
0.1.1 latest linux/noble R-4.5 multifamm_0.1.1.tar.gz 2.6 MiB
0.1.1 latest source/ R- multifamm_0.1.1.tar.gz 2.6 MiB
0.1.1 2026-04-26 source/ R- multifamm_0.1.1.tar.gz 2.6 MiB
0.1.1 2026-04-23 source/ R- multifamm_0.1.1.tar.gz 2.6 MiB
0.1.1 2026-04-09 windows/windows R-4.5 multifamm_0.1.1.zip 2.6 MiB
0.1.1 2025-04-20 source/ R- multifamm_0.1.1.tar.gz 2.6 MiB

Dependencies (latest)

Imports