The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
Reference manual: | LAM.pdf |
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 imports: | STARTS |
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.
Health stats visible at Monitor.