Multivariate Functional Additive Mixed Models

An implementation for multivariate functional additive mixed models (multiFAMM), see Volkmann et al. (2021, ). 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>).

multiFAMM

This package provides 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. A development version of this package can be found on GitHub (alexvolkmann/multifamm). An additional package on GitHub contains more convenience functions to reproduce the analyses of the corresponding paper (alexvolkmann/multifammPaper).