alexanderrobitzsch/LAM: Some Latent Variable Models
Version 0.4-1

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; ).

Getting started

Package details

AuthorAlexander Robitzsch [aut,cre]
MaintainerAlexander Robitzsch <[email protected]>
LicenseGPL (>= 2)
Version0.4-1
URL https://github.com/alexanderrobitzsch/LAM
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 June 9, 2018, 4 a.m.