EMJMCMC

Implementation of the Mode Jumping Markov Chain Monte Carlo algorithm from Hubin, A., Storvik, G. (2018) doi:10.1016/j.csda.2018.05.020, Genetically Modified Mode Jumping Markov Chain Monte Carlo from Hubin, A., Storvik, G., & Frommlet, F. (2020) doi:10.1214/18-BA1141, Hubin, A., Storvik, G., & Frommlet, F. (2021) doi:10.1613/jair.1.13047, and Hubin, A., Heinze, G., & De Bin, R. (2023) doi:10.3390/fractalfract7090641, and Reversible Genetically Modified Mode Jumping Markov Chain Monte Carlo from Hubin, A., Frommlet, F., & Storvik, G. (2021) doi:10.48550/arXiv.2110.05316, which allow for estimating posterior model probabilities and Bayesian model averaging across a wide set of Bayesian models including linear, generalized linear, generalized linear mixed, generalized nonlinear, generalized nonlinear mixed, and logic regression models.

Last 30 days

This package has been downloaded 136 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 4 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 1,867 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 May 05, 2024 with 57 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.