BDgraph

Advanced statistical tools for Bayesian structure learning in undirected graphical models, accommodating continuous, ordinal, discrete, count, and mixed data. It integrates recent advancements in Bayesian graphical models as presented in the literature, including the works of Mohammadi and Wit (2015) doi:10.1214/14-BA889, Mohammadi et al. (2021) doi:10.1080/01621459.2021.1996377, Dobra and Mohammadi (2018) doi:10.1214/18-AOAS1164, and Mohammadi et al. (2023) doi:10.48550/arXiv.2307.00127.

Last 30 days

This package has been downloaded 2,181 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 55 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 27,702 times in the last 365 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The day with the most downloads was Feb 12, 2025 with 267 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.