fPASS

Computes the power and sample size (PASS) required to test for the difference in the mean function between two groups under a repeatedly measured longitudinal or sparse functional design. See the manuscript by Koner and Luo (2023) https://salilkoner.github.io/assets/PASS_manuscript.pdf for details of the PASS formula and computational details. The details of the testing procedure for univariate and multivariate response are presented in Wang (2021) doi:10.1214/21-EJS1802 and Koner and Luo (2023) doi:10.48550/arXiv.2302.05612 respectively.

Last 30 days

This package has been downloaded 158 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 7 times.

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Last 365 days

This package has been downloaded 2,140 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 21, 2024 with 71 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.