Some Latent Variable Models
(Restricted) Maximum Likelihood Estimation with Prior Distributions an...
Bayesian Model Estimation with Adaptive Metropolis Hastings Sampling (...
Transformation of Path Coefficients of Cross-Lagged Panel Model
Datasets from Heck and Thomas (2015)
tools:::Rd_package_title("LAM")
Log-Likelihood Value of a Multivariate Normal Distribution
Sufficient Statistics for Dataset with Missing Response Pattern
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>).
Useful links