chkiefer/lavacreg: 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) <doi:10.1080/00273171.2020.1751027>.

Getting started

Package details

Maintainer
LicenseGPL (>= 2)
Version0.1-1
URL https://github.com/chkiefer/lavacreg
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("chkiefer/lavacreg")
chkiefer/lavacreg documentation built on March 6, 2021, 4:46 a.m.