Package: bellreg 0.0.2.2
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.zip(r-4.5)bellreg_0.0.2.2.zip(r-4.4)bellreg_0.0.2.2.zip(r-4.3)
bellreg_0.0.2.2.tgz(r-4.4-x86_64)bellreg_0.0.2.2.tgz(r-4.4-arm64)bellreg_0.0.2.2.tgz(r-4.3-x86_64)bellreg_0.0.2.2.tgz(r-4.3-arm64)
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://fndemarqui.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fndemarqui/bellreg/issues
Last updated 1 months agofrom:68d9a2f928. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-win-x86_64 | NOTE | Nov 22 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 22 2024 |
R-4.4-win-x86_64 | NOTE | Nov 22 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 22 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 22 2024 |
R-4.3-win-x86_64 | NOTE | Nov 22 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 22 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 22 2024 |
Exports:bellbellregdbellextract_log_likpbellqbellrbellzibellreg
Dependencies:abindbackportsBHcallrcheckmateclicolorspacedescdistributionaldplyrextraDistrfansifarverFormulagenericsggplot2gluegridExtragtableinlineisobandlabelingLambertWlamWlatticelifecycleloomagicmagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumbersnumDerivpillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrQuickJSRR6rbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackreshape2rlangrstanrstantoolsscalesStanHeadersstringistringrtensorAtibbletidyselectutf8vctrsviridisLitewithr