Latent Variable Count Regression Models

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) .


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install.packages("lavacreg")

0.1-2 by Christoph Kiefer, a month ago


https://github.com/chkiefer/lavacreg


Report a bug at https://github.com/chkiefer/lavacreg/issues


Browse source code at https://github.com/cran/lavacreg


Authors: Christoph Kiefer [cre, aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp, fastGHQuad, pracma, methods, stats, SparseGrid

Suggests knitr, rmarkdown, testthat

Linking to Rcpp

System requirements: C++11


See at CRAN