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lavacreg: Latent Variable Count Regression Models

lavacreg is an R package for fitting count regression models (i.e., Poisson, negative binomial) with manifest as well as latent covariates and within multiple groups. It can be installed via GitHub.

Installation

lavacreg is currently on CRAN. The development version of lavacreg can be installed directly from this GitHub repository using the additional package devtools. Under Windows, please make sure Rtools (http://cran.r-project.org/bin/windows/Rtools) are installed and no older version of lavacreg is currently loaded:

install.packages("devtools")
library(devtools)

install_github("chkiefer/lavacreg")

Run lavacreg

The main function of the package is countreg(). There is an article available here on GitHub (https://chkiefer.github.io/lavacreg/articles/intro.html) to introduce you to its functionality.

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Install

install.packages('lavacreg')

Monthly Downloads

640

Version

0.2-1

License

GPL (>= 2)

Issues

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Maintainer

Christoph Kiefer

Last Published

October 26th, 2023

Functions in lavacreg (0.2-1)

summary,lavacreg-method

Summary of a lavacreg object
is_count

Check for count variable
example01

A first example dataset to illustrate the use of lavacreg
lavacreg

lavacreg
countreg

Fitting Count Regression Models with Latent Covariates