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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>.
Package details |
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Author | Fabio Demarqui [aut, cre, cph] (<https://orcid.org/0000-0001-9236-1986>), Marcos Prates [ctb] (<https://orcid.org/0000-0001-8077-4898>), Fredy Caceres [ctb] (<https://orcid.org/0000-0001-8077-4898>), Andrew Johnson [ctb] |
Maintainer | Fabio Demarqui <fndemarqui@est.ufmg.br> |
License | MIT + file LICENSE |
Version | 0.0.2 |
URL | https://github.com/fndemarqui/bellreg https://fndemarqui.github.io/bellreg/ |
Package repository | View on CRAN |
Installation |
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