Nothing
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
Browse package contents
Package details |
|
|---|---|
| Author | Alexander Robitzsch [aut,cre] |
| Maintainer | Alexander Robitzsch <robitzsch@ipn.uni-kiel.de> |
| License | GPL (>= 2) |
| Version | 0.7-22 |
| URL | https://github.com/alexanderrobitzsch/LAM https://sites.google.com/site/alexanderrobitzsch2/software |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the LAM package in your browser
Any scripts or data that you put into this service are public.
