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flexCountReg
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Download and install flexCountReg package within the R console
Install from CRAN:
install.packages("flexCountReg")
Install from Github:
library("remotes")
install_github("cran/flexCountReg") Install by package version:
library("remotes")
install_version("flexCountReg", "0.1.1") Attach the package and use:
library("flexCountReg")
Maintained by
Jonathan Wood
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First Published: 2026-01-19
Latest Update: 2026-01-19
Description:
An implementation of multiple regression models for count data. These include various forms of the negative binomial (NB-1, NB-2, NB-P, generalized negative binomial, etc.), Poisson-Lognormal, other compound Poisson distributions, the Generalized Waring model, etc. Information on the different forms of the negative binomial are described by Greene (2008) <doi:10.1016/j.econlet.2007.10.015>. For treatises on count models, see Cameron and Trivedi (2013) <doi:10.1017/CBO9781139013567> and Hilbe (2012) <doi:10.1017/CBO9780511973420>. For the implementation of under-reporting in count models, see Wood et al. (2016) <doi:10.1016/j.aap.2016.06.013>. For prediction methods in random parameter models, see Wood and Gayah (2025) <doi:10.1016/j.aap.2025.108147>. For estimating random parameters using maximum simulated likelihood, see Greene and Hill (2010) <doi:10.1108/S0731-9053(2010)26>; Gourieroux and Monfort (1996) <doi:10.1093/0198774753.001.0001>; or Hensher et al. (2015) <doi:10.1017/CBO9781316136232>.
How to cite:
Jonathan Wood (2026). flexCountReg: Estimation of a Variety of Count Regression Models. R package version 0.1.1, https://cran.r-project.org/web/packages/flexCountReg. Accessed 15 Mar. 2026.
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