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) and Lemonte et al. (2020) .


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0.0.1 by Fabio Demarqui, a year ago

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Authors: Fabio Demarqui [aut, cre] , Marcos Prates [ctb] , Fredy Caceres [ctb]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports extraDistr, Formula, magic, MASS, methods, numbers, Rcpp, Rdpack, rstan, rstantools

Suggests testthat

Linking to BH, Rcpp, RcppEigen, rstan, StanHeaders

System requirements: GNU make

See at CRAN