PopED

Optimal experimental designs for both population and individual studies based on nonlinear mixed-effect models. Often this is based on a computation of the Fisher Information Matrix. This package was developed for pharmacometric problems, and examples and predefined models are available for these types of systems. The methods are described in Nyberg et al. (2012) doi:10.1016/j.cmpb.2012.05.005, and Foracchia et al. (2004) doi:10.1016/S0169-2607(03)00073-7.

Last 30 days

This package has been downloaded 450 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 14 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 6,351 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Jul 21, 2024 with 154 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.