Package: LAM 0.8-1

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>).

Authors:Alexander Robitzsch [aut,cre]

LAM_0.8-1.tar.gz
LAM_0.8-1.zip(r-4.7)LAM_0.8-1.zip(r-4.6)LAM_0.8-1.zip(r-4.5)
LAM_0.8-1.tgz(r-4.6-x86_64)LAM_0.8-1.tgz(r-4.6-arm64)LAM_0.8-1.tgz(r-4.5-x86_64)LAM_0.8-1.tgz(r-4.5-arm64)
LAM_0.8-1.tar.gz(r-4.7-arm64)LAM_0.8-1.tar.gz(r-4.7-x86_64)LAM_0.8-1.tar.gz(r-4.6-arm64)LAM_0.8-1.tar.gz(r-4.6-x86_64)
LAM_0.8-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
LAM/json (API)

# Install 'LAM' in R:
install.packages('LAM', repos = c('https://alexanderrobitzsch.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/alexanderrobitzsch/lam/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

multilevel-modelsstructural-equation-modelingopenblascpp

5.06 score 7 stars 1 packages 11 scripts 350 downloads 46 mentions 7 exports 12 dependencies

Last updated from:ff8d6aef2e. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK351
linux-devel-x86_64OK389
source / vignettesOK365
linux-release-arm64OK352
linux-release-x86_64OK352
macos-release-arm64OK93
macos-release-x86_64OK332
macos-oldrel-arm64OK90
macos-oldrel-x86_64OK212
windows-develOK109
windows-releaseOK119
windows-oldrelOK117
wasm-releaseOK416

Exports:amhclpm_to_ctmloglike_mvnormloglike_mvnorm_NA_patternmlnormalpmlesuff_stat_NA_pattern

Dependencies:admiscCDMlatticeMatrixmvtnormpbapplypbvpolycorRcppRcppArmadillosirtTAM

Readme and manuals

Help Manual

Help pageTopics
Some Latent Variable ModelsLAM-package LAM
Bayesian Model Estimation with Adaptive Metropolis Hastings Sampling ('amh') or Penalized Maximum Likelihood Estimation ('pmle')amh coef.amh coef.pmle confint.amh confint.pmle logLik.amh logLik.pmle plot.amh plot.pmle pmle summary.amh summary.pmle vcov.amh vcov.pmle
Transformation of Path Coefficients of Cross-Lagged Panel Modelclpm_to_ctm
Datasets from Heck and Thomas (2015)data.HT data.HT12
Log-Likelihood Value of a Multivariate Normal Distributionloglike_mvnorm loglike_mvnorm_NA_pattern
(Restricted) Maximum Likelihood Estimation with Prior Distributions and Penalty Functions under Multivariate Normalitycoef.mlnormal confint.mlnormal logLik.mlnormal mlnormal print.mlnormal summary.mlnormal vcov.mlnormal
Sufficient Statistics for Dataset with Missing Response Patternsuff_stat_NA_pattern