Package: LAM
Type: Package
Title: Some Latent Variable Models
Version: 0.7-22
Date: 2024-07-15 11:56:28
Author: Alexander Robitzsch [aut,cre]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Description: 
    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>).
Depends: R (>= 3.1)
Imports: CDM, graphics, Rcpp, sirt, stats, utils
Suggests: coda, expm, MASS, numDeriv, TAM
Enhances: lavaan, lme4
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/alexanderrobitzsch/LAM,
        https://sites.google.com/site/alexanderrobitzsch2/software
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2024-07-15 09:58:09 UTC; sunpn563
Repository: CRAN
Date/Publication: 2024-07-15 10:30:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 08:23:22 UTC; unix
Archs: LAM.so.dSYM
