AdMit

Provides functions to perform the fitting of an adaptive mixture of Student-t distributions to a target density through its kernel function as described in Ardia et al. (2009) doi:10.18637/jss.v029.i03. The mixture approximation can then be used as the importance density in importance sampling or as the candidate density in the Metropolis-Hastings algorithm to obtain quantities of interest for the target density itself.

Last 30 days

This package has been downloaded 505 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 11 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 6,283 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Aug 28, 2024 with 86 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.