multifamm

An implementation for multivariate functional additive mixed models (multiFAMM), see Volkmann et al. (2021, doi:10.48550/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).

Last 30 days

This package has been downloaded 228 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 2,857 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 31 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.