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lavacreg  

Latent Variable Count Regression Models
View on CRAN: Click here


Download and install lavacreg package within the R console
Install from CRAN:
install.packages("lavacreg")

Install from Github:
library("remotes")
install_github("cran/lavacreg")

Install by package version:
library("remotes")
install_version("lavacreg", "0.2-2")



Attach the package and use:
library("lavacreg")
Maintained by
Christoph Kiefer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-16
Latest Update: 2021-08-19
Description:
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) .
How to cite:
Christoph Kiefer (2021). lavacreg: Latent Variable Count Regression Models. R package version 0.2-2, https://cran.r-project.org/web/packages/lavacreg. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1-0 (2021-02-16 11:20), 0.1-1 (2021-03-03 00:00), 0.1-2 (2021-08-19 19:20), 0.2-0 (2023-10-23 15:30), 0.2-1 (2023-10-26 09:20)
Other packages that cited lavacreg R package
View lavacreg citation profile
Other R packages that lavacreg depends, imports, suggests or enhances
Complete documentation for lavacreg
Functions, R codes and Examples using the lavacreg R package
Some associated functions: countreg . example01 . is_count . lavacreg . summary-lavacreg-method . 
Some associated R codes: 00class.R . 00documentation.R . 00methods.R . RcppExports.R . countreg.R . creg_constraints.R . creg_datalist.R . creg_gh_grid.R . creg_input.R . creg_loglikelihood.R . creg_misc.R . creg_modellist.R . creg_partable.R . zzz.R .  Full lavacreg package functions and examples
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