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>.

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 (≥, rstan (≥ 2.26.0), StanHeaders (≥ 2.26.0)
Suggests: knitr, rmarkdown, testthat
Published: 2024-06-17
DOI: 10.32614/CRAN.package.bellreg
Author: Fabio Demarqui ORCID iD [aut, cre, cph], Marcos Prates ORCID iD [ctb], Fredy Caceres [ctb], Andrew Johnson [ctb]
Maintainer: Fabio Demarqui <fndemarqui at>
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
CRAN checks: bellreg results


Reference manual: bellreg.pdf
Vignettes: Modeling count data with the Bell distribution
Zero-inflated Bell model


Package source: bellreg_0.0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bellreg_0.0.2.1.tgz, r-oldrel (arm64): bellreg_0.0.2.1.tgz, r-release (x86_64): bellreg_0.0.2.1.tgz, r-oldrel (x86_64): bellreg_0.0.2.1.tgz
Old sources: bellreg archive


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