Package: lavacreg 0.2-2

Christoph Kiefer

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>.

Authors:Christoph Kiefer [cre, aut]

lavacreg_0.2-2.tar.gz
lavacreg_0.2-2.tar.gz(r-4.5-noble)lavacreg_0.2-2.tar.gz(r-4.4-noble)
lavacreg_0.2-2.tgz(r-4.4-emscripten)lavacreg_0.2-2.tgz(r-4.3-emscripten)
lavacreg.pdf |lavacreg.html✨
lavacreg/json (API)
NEWS

# Install 'lavacreg' in R:
install.packages('lavacreg', repos = 'https://cloud.r-project.org')

Bug tracker:https://github.com/chkiefer/lavacreg/issues1 issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • example01 - A first example dataset to illustrate the use of lavacreg

On CRAN:

Conda:

openblascppopenmp

2.70 score 467 downloads 3 exports 5 dependencies

Last updated 10 months agofrom:5f816fe39e. Checks:2 OK, 1 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKApr 02 2025
R-4.5-linux-x86_64NOTEApr 02 2025
R-4.4-linux-x86_64OKApr 02 2025

Exports:countregis_countsummary

Dependencies:fastGHQuadpracmaRcppRcppArmadilloSparseGrid

Introduction

Rendered fromintro.Rmdusingknitr::rmarkdownon Apr 02 2025.

Last update: 2023-10-23
Started: 2021-02-16

Citation

To cite package ‘lavacreg’ in publications use:

Kiefer C (2024). lavacreg: Latent Variable Count Regression Models. R package version 0.2-2, https://CRAN.R-project.org/package=lavacreg.

Corresponding BibTeX entry: 

  @Manual{,
    title = {lavacreg: Latent Variable Count Regression Models},
    author = {Christoph Kiefer},
    year = {2024},
    note = {R package version 0.2-2},
    url = {https://CRAN.R-project.org/package=lavacreg},
  }

Readme and manuals

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.