Count Regression Models Based on the Bell Distribution R package bellreg version 0.0.2.2 Bell regression models for count data with overdispersion. The implemented models account for ordinary and zero-inflated regression models under both frequentist and Bayesian approaches. Theoretical details regarding the models implemented in the package can be found in Castellares et al. (2018) <doi:10.1016/j.apm.2017.12.014> and Lemonte et al. (2020) <doi:10.1080/02664763.2019.1636940>. Software Depends: R (>= 3.4.0) Imports: dplyr, extraDistr, Formula, magic, MASS, methods, numbers, LambertW, loo, purrr, Rcpp (>= 0.12.0), Rdpack, rstan (>= 2.26.0), rstantools (>= 2.0.0) LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), rstan (>= 2.26.0), StanHeaders (>= 2.26.0) Suggests: knitr, rmarkdown, testthat Fabio Demarqui <fndemarqui@est.ufmg.br> Comprehensive R Archive Network (CRAN) Fabio Demarqui [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-9236-1986>), Marcos Prates [ctb] (ORCID: <https://orcid.org/0000-0001-8077-4898>), Fredy Caceres [ctb], Andrew Johnson [ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=bellreg/LICENSE) 2024-10-23 application/tgz https://CRAN.R-project.org/package=bellreg doi:10.32614/CRAN.package.bellreg