adaptMCMC

Enables sampling from arbitrary distributions if the log density is known up to a constant; a common situation in the context of Bayesian inference. The implemented sampling algorithm was proposed by Vihola (2012) doi:10.1007/s11222-011-9269-5 and achieves often a high efficiency by tuning the proposal distributions to a user defined acceptance rate.

Last 30 days

This package has been downloaded 1,013 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 15 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 10,886 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Mar 31, 2025 with 122 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.