Package: bellreg 0.1.0

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_0.1.0.tar.gz
bellreg_0.1.0.zip(r-4.7-x86_64)bellreg_0.1.0.zip(r-4.7-arm64)bellreg_0.1.0.zip(r-4.6-x86_64)bellreg_0.1.0.zip(r-4.6-arm64)bellreg_0.1.0.zip(r-4.5-x86_64)
bellreg_0.1.0.tgz(r-4.6-x86_64)bellreg_0.1.0.tgz(r-4.6-arm64)bellreg_0.1.0.tgz(r-4.5-x86_64)bellreg_0.1.0.tgz(r-4.5-arm64)
bellreg_0.1.0.tar.gz(r-4.7-arm64)bellreg_0.1.0.tar.gz(r-4.7-x86_64)bellreg_0.1.0.tar.gz(r-4.6-arm64)bellreg_0.1.0.tar.gz(r-4.6-x86_64)
bellreg_0.1.0.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://fndemarqui.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:

cells - Cells data set
faults - Faults data set

On CRAN:

onetbb cpp

5.42 score 1 stars 1 packages 44 scripts 669 downloads 14 exports 70 dependencies

Last updated from:a0f17fceaf. Checks:15 OK. Indexed: yes.

The latest version of this package failed to build. Look at thebuild logs for more information.

Target	Result	Time
linux-devel-arm64	OK	306
linux-devel-x86_64	OK	322
source / vignettes	OK	462
linux-release-arm64	OK	283
linux-release-x86_64	OK	345
macos-release-arm64	OK	247
macos-release-x86_64	OK	410
macos-oldrel-arm64	OK	271
macos-oldrel-x86_64	OK	480
windows-devel-arm64	OK	355
windows-devel-x86_64	OK	454
windows-release-arm64	OK	347
windows-release-x86_64	OK	401
windows-oldrel-x86_64	OK	374
wasm-release	OK	231

Exports:bell bellreg dbell dtpois extract_log_lik pbell prior_spec ptpois qbell qtpois rbell rtpois tidy zibellreg

Dependencies:abind backports BH broom callr checkmate cli cpp11 desc distributional dplyr emmeans estimability extraDistr farver Formula generics ggplot2 glue gridExtra gtable inline isoband labeling LambertW lamW lifecycle loo magic magrittr MASS matrixStats mvtnorm numbers numDeriv otel pillar pkgbuild pkgconfig plyr posterior processx ps purrr QuickJSR R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen RcppParallel Rdpack reshape2 rlang rstan rstantools S7 scales StanHeaders stringi stringr tensorA tibble tidyr tidyselect utf8 vctrs viridisLite withr

Zero-inflated Bell model

Rendered fromzibellreg.Rmdusingknitr::rmarkdown

Last update: 2026-01-20
Started: 2024-01-16

Modeling count data with the Bell distribution

Rendered frombellreg.Rmdusingknitr::rmarkdown

Last update: 2024-01-16
Started: 2024-01-16

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
The 'bellreg' package.	bellreg-package BellReg
Akaike information criterion	AIC.bellreg
Akaike information criterion for zibellreg objects	AIC.zibellreg
anova method for zibellreg models	anova.zibellreg
Family Objects for Models	bell
Probability function, distribution function, quantile function and random generation for the Bell distribution with parameter theta.	Bell Belldist dbell pbell qbell rbell
Bell regression model	bellreg
Cells data set	cells
Estimated regression coefficients for the bellreg model	coef.bellreg
Estimated regression coefficients for zibellreg model	coef.zibellreg
Confidence intervals for the regression coefficients	confint.bellreg
Confidence intervals for the regression coefficients	confint.zibellreg
The Truncated Poisson Distribution	dtpois ptpois qtpois rtpois
Support Functions for 'emmeans'	emmeans-bellreg-helpers recover_data.bellreg recover_data.zibellreg
Extract pointwise log-likelihood from a Stan model for a bellreg model	extract_log_lik extract_log_lik.bellreg
Faults data set	faults
Extract Model Fitted Values	fitted.bellreg
Extract Log-Likelihood from a Fitted Model	logLik.bellreg
Extract Log-Likelihood from a Fitted Model	logLik.zibellreg
Construct Design Matrices for zibellreg models	model.matrix.zibellreg
Print the summary.bellreg output	print.summary.bellreg
Print the summary.zibellreg output	print.summary.zibellreg
Prior specification	prior_spec
Summary for the bellreg model	summary.bellreg
Summary for the zibellreg model	summary.zibellreg
Tidy a bellreg object	tidy.bellreg
Tidy a zibellreg object	tidy.zibellreg
Variance-covariance matrix for a bellreg model	vcov.bellreg
Covariance of the regression coefficients	vcov.zibellreg
ZiBell regression model	zibellreg