Installation
About
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; doi:10.1093/biomet/74.4.817), a general Metropolis-Hastings algorithm (amh(); Roberts & Rosenthal, 2001, doi:10.1214/ss/1015346320) and penalized maximum likelihood estimation (pmle(); Cole, Chu & Greenland, 2014; doi:10.1093/aje/kwt245).
| Citation | LAM citation info |
| github.com/alexanderrobitzsch/LAM | |
| sites.google.com/site/alexanderrobitzsch2/software |
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