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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: | 0.6-19 |
| Depends: | R (≥ 3.1) |
| Imports: | CDM, graphics, Rcpp, sirt, stats, utils |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | coda, expm, MASS, numDeriv, TAM |
| Enhances: | lavaan, lme4 |
| Published: | 2022-05-18 |
| 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_0.6-19.tar.gz |
| Windows binaries: | r-devel: LAM_0.6-19.zip, r-release: LAM_0.6-19.zip, r-oldrel: LAM_0.6-19.zip |
| macOS binaries: | r-release (arm64): LAM_0.6-19.tgz, r-oldrel (arm64): LAM_0.6-19.tgz, r-release (x86_64): LAM_0.6-19.tgz, r-oldrel (x86_64): LAM_0.6-19.tgz |
| Old sources: | LAM archive |
| Reverse imports: | STARTS |
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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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