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>.
| Version: | 0.0.2.2 |
| 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 |
| Published: | 2024-10-23 |
| DOI: | 10.32614/CRAN.package.bellreg |
| Author: | Fabio Demarqui [aut, cre, cph], Marcos Prates [ctb], Fredy Caceres [ctb], Andrew Johnson [ctb] |
| Maintainer: | Fabio Demarqui <fndemarqui at est.ufmg.br> |
| BugReports: | https://github.com/fndemarqui/bellreg/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/fndemarqui/bellreg,https://fndemarqui.github.io/bellreg/ |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Materials: | README,NEWS |
| CRAN checks: | bellreg results |