fdarep

Provides an implementation of two-dimensional functional principal component analysis (FPCA), Marginal FPCA, and Product FPCA for repeated functional data. Marginal and Product FPCA implementations are done for both dense and sparsely observed functional data. References: doi:10.1111/rssb.12160, doi:10.1080/01621459.2012.734196, doi:10.1214/009053606000000272, doi:10.1198/016214504000001745.

Last 30 days

This package has been downloaded 157 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 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 2,031 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 20 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.