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 (≥, rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: testthat
Published: 2020-06-26
Author: Fabio Demarqui ORCID iD [aut, cre], Marcos Prates ORCID iD [ctb], Fredy Caceres ORCID iD [ctb]
Maintainer: Fabio Demarqui <fndemarqui at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: GNU make
CRAN checks: bellreg results


Reference manual: bellreg.pdf
Package source: bellreg_0.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bellreg_0.0.1.tgz, r-release (x86_64): bellreg_0.0.1.tgz, r-oldrel: bellreg_0.0.1.tgz


Please use the canonical form to link to this page.