LAWBL

A variety of models to analyze latent variables based on Bayesian learning: the partially CFA (doi:10.1037/met0000293); generalized PCFA; partially confirmatory IRM (doi:10.1007/s11336-020-09724-3); Bayesian regularized EFA (doi:10.1080/10705511.2020.1854763); Fully and partially EFA.

Last 30 days

This package has been downloaded 201 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 7 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 3,570 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 Jul 21, 2024 with 145 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.