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: |
0.0.1 |
| Depends: |
R (≥ 3.4.0) |
| Imports: |
extraDistr, Formula, magic, MASS, methods, numbers, Rcpp (≥
0.12.0), Rdpack, rstan (≥ 2.18.1), rstantools (≥ 2.0.0) |
| LinkingTo: |
BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0) |
| Suggests: |
testthat |
| Published: |
2020-06-26 |
| Author: |
Fabio Demarqui 
[aut, cre],
Marcos Prates
[ctb],
Fredy Caceres
[ctb] |
| Maintainer: |
Fabio Demarqui <fndemarqui at est.ufmg.br> |
| BugReports: |
https://github.com/fndemarqui/bellreg/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/fndemarqui/bellreg |
| NeedsCompilation: |
yes |
| SystemRequirements: |
GNU make |
| CRAN checks: |
bellreg results |