bellreg: Count Regression Models Based on the Bell Distribution

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

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