GGMnonreg

Estimate non-regularized Gaussian graphical models, Ising models, and mixed graphical models. The current methods consist of multiple regression, a non-parametric bootstrap doi:10.1080/00273171.2019.1575716, and Fisher z transformed partial correlations doi:10.1111/bmsp.12173. Parameter uncertainty, predictability, and network replicability doi:10.31234/osf.io/fb4sa are also implemented.

Last 30 days

This package has been downloaded 570 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 67 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 8,680 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Sep 11, 2024 with 89 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.