alexanderrobitzsch/LAM: Some Latent Variable Models

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>).

Getting started

Package details

AuthorAlexander Robitzsch [aut,cre]
MaintainerAlexander Robitzsch <[email protected]>
LicenseGPL (>= 2)
Version0.4-5
URL https://github.com/alexanderrobitzsch/LAM https://sites.google.com/site/alexanderrobitzsch2/software
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("alexanderrobitzsch/LAM")
alexanderrobitzsch/LAM documentation built on Nov. 25, 2018, 4:35 p.m.