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>).

Version:	0.7-22
Depends:	R (≥ 3.1)
Imports:	CDM, graphics, Rcpp, sirt, stats, utils
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	coda, expm, MASS, numDeriv, TAM
Enhances:	lavaan, lme4
Published:	2024-07-15
DOI:	10.32614/CRAN.package.LAM
Author:	Alexander Robitzsch [aut,cre]
Maintainer:	Alexander Robitzsch <robitzsch at ipn.uni-kiel.de>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/alexanderrobitzsch/LAM, https://sites.google.com/site/alexanderrobitzsch2/software
NeedsCompilation:	yes
Citation:	LAM citation info
Materials:	README, NEWS
In views:	Psychometrics
CRAN checks:	LAM results

Documentation:

Reference manual:

LAM.html , LAM.pdf

Downloads:

Package source:	LAM_0.7-22.tar.gz
Windows binaries:	r-devel: LAM_0.7-22.zip, r-release: LAM_0.7-22.zip, r-oldrel: LAM_0.7-22.zip
macOS binaries:	r-release (arm64): LAM_0.7-22.tgz, r-oldrel (arm64): LAM_0.7-22.tgz, r-release (x86_64): LAM_0.7-22.tgz, r-oldrel (x86_64): LAM_0.7-22.tgz
Old sources:	LAM archive

Reverse dependencies:

Reverse imports:

STARTS

Linking:

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