Package: lavacreg 0.2-3-9000

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]

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lavacreg/json (API)
NEWS

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

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

count-regressionlatent-covariatesstructural-equation-modelingopenblascppopenmp

4.78 score 3 stars 5 scripts 666 downloads 3 exports 11 dependencies

Last updated 20 days agofrom:e44481ae2e. Checks:1 OK, 10 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 21 2025
R-4.5-win-x86_64WARNINGFeb 21 2025
R-4.5-mac-x86_64WARNINGFeb 21 2025
R-4.5-mac-aarch64WARNINGFeb 21 2025
R-4.5-linux-x86_64WARNINGFeb 21 2025
R-4.4-win-x86_64WARNINGFeb 21 2025
R-4.4-mac-x86_64WARNINGFeb 21 2025
R-4.4-mac-aarch64WARNINGFeb 21 2025
R-4.3-win-x86_64WARNINGFeb 21 2025
R-4.3-mac-x86_64WARNINGFeb 21 2025
R-4.3-mac-aarch64WARNINGFeb 21 2025

Exports:countregis_countsummary

Dependencies:fastGHQuadlavaanMASSmnormtnumDerivpbivnormpracmaquadprogRcppRcppArmadilloSparseGrid

Introduction

Rendered fromintro.Rmdusingknitr::rmarkdownon Feb 21 2025.

Last update: 2021-08-19
Started: 2020-07-15