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
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LAM.pdf |LAM.html✨
LAM/json (API)
NEWS

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

Peer review:

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

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

On CRAN:

multilevel-modelsstructural-equation-modeling

7 exports 5 stars 4.79 score 12 dependencies 1 dependents 46 mentions 11 scripts 517 downloads

Last updated 2 months agofrom:ff8d6aef2e. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 14 2024
R-4.5-win-x86_64NOTEAug 14 2024
R-4.5-linux-x86_64NOTEAug 14 2024
R-4.4-win-x86_64NOTEAug 14 2024
R-4.4-mac-x86_64NOTEAug 14 2024
R-4.4-mac-aarch64NOTEAug 14 2024
R-4.3-win-x86_64NOTEAug 14 2024
R-4.3-mac-x86_64NOTEAug 14 2024
R-4.3-mac-aarch64NOTEAug 14 2024

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