bellreg: Count Regression Models Based on the Bell Distribution (original) (raw)
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:
Published:
2024-10-23
DOI:
Author:
Fabio Demarqui [aut, cre, cph], Marcos Prates
[ctb], Fredy Caceres [ctb], Andrew Johnson [ctb]
Maintainer:
Fabio Demarqui
BugReports:
https://github.com/fndemarqui/bellreg/issues
License:
MIT + file
URL:
https://github.com/fndemarqui/bellreg,https://fndemarqui.github.io/bellreg/
NeedsCompilation:
yes
SystemRequirements:
GNU make
Materials:
CRAN checks: