Package: LAM
Type: Package
Title: Some Latent Variable Models
Version: 0.8-1
Date: 2024-07-15 13:08:01
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)
Repository: https://alexanderrobitzsch.r-universe.dev
Date/Publication: 2024-07-15 11:17:32 UTC
RemoteUrl: https://github.com/alexanderrobitzsch/lam
RemoteRef: HEAD
RemoteSha: ff8d6aef2e048f6beaa16d1c67e2c9d31222b8d5
NeedsCompilation: yes
Packaged: 2026-06-24 04:14:04 UTC; root