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

bellreg_0.0.2.2.tar.gz
bellreg_0.0.2.2.zip(r-4.7-x86_64)bellreg_0.0.2.2.zip(r-4.7-arm64)bellreg_0.0.2.2.zip(r-4.6-x86_64)bellreg_0.0.2.2.zip(r-4.6-arm64)
bellreg_0.0.2.2.tar.gz(r-4.7-arm64)bellreg_0.0.2.2.tar.gz(r-4.7-x86_64)bellreg_0.0.2.2.tar.gz(r-4.6-arm64)bellreg_0.0.2.2.tar.gz(r-4.6-x86_64)
bellreg_0.0.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bellreg/json (API)

# 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

Pkgdown/docs site:https://fndemarqui.github.io

Uses libs:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

onetbbcpp

3.48 score 1 packages 530 downloads 8 exports 65 dependencies

Last updated from:23948d8f09. Checks:8 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE246
linux-devel-x86_64NOTE303
source / vignettesOK481
linux-release-arm64NOTE237
linux-release-x86_64NOTE307
windows-devel-arm64NOTE347
windows-devel-x86_64NOTE392
windows-release-arm64NOTE415
windows-release-x86_64NOTE342
wasm-releaseOK236

Exports:bellbellregdbellextract_log_likpbellqbellrbellzibellreg

Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionaldplyrextraDistrfarverFormulagenericsggplot2gluegridExtragtableinlineisobandlabelingLambertWlamWlifecycleloomagicmagrittrMASSmatrixStatsnumbersnumDerivotelpillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrQuickJSRR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackreshape2rlangrstanrstantoolsS7scalesStanHeadersstringistringrtensorAtibbletidyselectutf8vctrsviridisLitewithr

Modeling count data with the Bell distribution
Rendered frombellreg.Rmdusingknitr::rmarkdown

Last update: 2024-01-17
Started: 2024-01-17

Zero-inflated Bell model
Rendered fromzibellreg.Rmdusingknitr::rmarkdown

Last update: 2024-01-17
Started: 2024-01-17