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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.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:

Please use the canonical form https://CRAN.R-project.org/package=LAM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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