Package: bellreg 0.0.2.1

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>.

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

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Bug tracker:https://github.com/fndemarqui/bellreg/issues

On CRAN:

8 exports 0.85 score 68 dependencies 17 scripts 327 downloads

Last updated 3 months agofrom:c2c0d43977. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:bellbellregdbellextract_log_likpbellqbellrbellzibellreg

Dependencies:abindbackportsBHcallrcheckmateclicolorspacedescdistributionaldplyrextraDistrfansifarverFormulagenericsggplot2gluegridExtragtableinlineisobandlabelingLambertWlamWlatticelifecycleloomagicmagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumbersnumDerivpillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrQuickJSRR6rbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackreshape2rlangrstanrstantoolsscalesStanHeadersstringistringrtensorAtibbletidyselectutf8vctrsviridisLitewithr