LAM

Includes some procedures for latent variable modeling with a particular focus on multilevel data. The 'LAM' package contains mean and covariance structure modelling for multivariate normally distributed data (mlnormal(); Longford, 1987;), a general Metropolis-Hastings algorithm (amh(); Roberts & Rosenthal, 2001), and penalized maximum likelihood estimation (pmle(); Cole, Chu & Greenland, 2014).

Last 30 days

This package has been downloaded 265 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 10 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 4,053 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Apr 10, 2024 with 58 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.