CRAN/E | lavacreg

lavacreg

Latent Variable Count Regression Models

Installation

About

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.

github.com/chkiefer/lavacreg
Bug report File report

Key Metrics

Version 0.2-1
R ≥ 3.5.0
Published 2023-10-26 176 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks lavacreg results

Downloads

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Maintainer

Maintainer

Christoph Kiefer

christoph.kiefer@uni-bielefeld.de

Authors

Christoph Kiefer

cre / aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Introduction

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

lavacreg archive

Depends

R ≥ 3.5.0

Imports

Rcpp ≥ 1.0.5
fastGHQuad
pracma
methods
stats
SparseGrid

Suggests

knitr
rmarkdown
testthat

LinkingTo

Rcpp
RcppArmadillo