Package: bellreg 0.0.2.2
Fabio Demarqui
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:
bellreg_0.0.2.2.tar.gz
bellreg_0.0.2.2.tar.gz(r-4.5-noble)bellreg_0.0.2.2.tar.gz(r-4.4-noble)
bellreg.pdf |bellreg.html✨
bellreg/json (API)
NEWS
| # Install 'bellreg' in R: |
| install.packages('bellreg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fndemarqui/bellreg/issues
Last updated 7 days agofrom:23948d8f09. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 24 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 24 2024 |
Exports:bellbellregdbellextract_log_likpbellqbellrbellzibellreg
Dependencies:abindbackportsBHcallrcheckmateclicolorspacedescdistributionaldplyrextraDistrfansifarverFormulagenericsggplot2gluegridExtragtableinlineisobandlabelingLambertWlamWlatticelifecycleloomagicmagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumbersnumDerivpillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrQuickJSRR6rbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackreshape2rlangrstanrstantoolsscalesStanHeadersstringistringrtensorAtibbletidyselectutf8vctrsviridisLitewithr
