Latent Variable Count Regression Models R package lavacreg version 0.2-2 Estimation of a multi-group count regression models (i.e., Poisson, negative binomial) with latent covariates. This packages provides two extensions compared to ordinary count regression models based on a generalized linear model: First, measurement models for the predictors can be specified allowing to account for measurement error. Second, the count regression can be simultaneously estimated in multiple groups with stochastic group weights. The marginal maximum likelihood estimation is described in Kiefer & Mayer (2020) <doi:10.1080/00273171.2020.1751027>. Software Depends: R (>= 3.5.0) Imports: Rcpp (>= 1.0.5), fastGHQuad, pracma, methods, stats, SparseGrid LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown, testthat Christoph Kiefer <christoph.kiefer@uni-bielefeld.de> Comprehensive R Archive Network (CRAN) Christoph Kiefer [cre, aut] (ORCID: <https://orcid.org/0000-0002-9166-400X>) GPL (>= 2) 2024-06-13 application/tgz https://CRAN.R-project.org/package=lavacreg doi:10.32614/CRAN.package.lavacreg