Learn R Programming

LAM

Some Latent Variable Models

If you use LAM and have suggestions for improvement or have found bugs, please email me at robitzsch@leibniz-ipn.de. Please always provide a minimal dataset, necessary to demonstrate the problem, a minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and all necessary information on the used librarys, the R version, and the OS it is run on, perhaps a sessionInfo().

Manual

The manual may be found here https://alexanderrobitzsch.github.io/LAM/

CRAN version

The official version of LAM is hosted on CRAN and may be found here. The CRAN version can be installed from within R using:

utils::install.packages("LAM")

GitHub version

The version hosted here is the development version of LAM. The GitHub version can be installed using devtools as:

devtools::install_github("alexanderrobitzsch/LAM")

Copy Link

Version

Install

install.packages('LAM')

Monthly Downloads

336

Version

0.7-22

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Maintainer

Alexander Robitzsch

Last Published

July 15th, 2024

Functions in LAM (0.7-22)

suff_stat_NA_pattern

Sufficient Statistics for Dataset with Missing Response Pattern
loglike_mvnorm

Log-Likelihood Value of a Multivariate Normal Distribution
mlnormal

(Restricted) Maximum Likelihood Estimation with Prior Distributions and Penalty Functions under Multivariate Normality
LAM-package

tools:::Rd_package_title("LAM")
amh

Bayesian Model Estimation with Adaptive Metropolis Hastings Sampling (amh) or Penalized Maximum Likelihood Estimation (pmle)
clpm_to_ctm

Transformation of Path Coefficients of Cross-Lagged Panel Model
data.HT

Datasets from Heck and Thomas (2015)