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: 0.0.2.2 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 (≥ 0.3.3.3.0), rstan (≥ 2.26.0), StanHeaders (≥ 2.26.0) Suggests: knitr, rmarkdown, testthat Published: 2024-10-23 DOI: 10.32614/CRAN.package.bellreg Author: Fabio Demarqui [aut, cre, cph], Marcos Prates [ctb], Fredy Caceres [ctb], Andrew Johnson [ctb] Maintainer: Fabio Demarqui <fndemarqui at est.ufmg.br> BugReports: https://github.com/fndemarqui/bellreg/issues License: MIT + file LICENSE URL: https://github.com/fndemarqui/bellreg, https://fndemarqui.github.io/bellreg/ NeedsCompilation: yes SystemRequirements: GNU make Materials: README NEWS CRAN checks: bellreg resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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