Package: fbglm 1.5.0

Jeonghwa Lee

fbglm: Fractional Binomial Regression Model

Fit a fractional binomial regression model and extended zero-inflated negative binomial regression model to count data with excess zeros using maximum likelihood estimation. Compare zero-inflated regression models via Vuong closeness test.

Authors:Jeonghwa Lee [aut, cre, cph]

fbglm_1.5.0.tar.gz
fbglm_1.5.0.tar.gz(r-4.5-noble)fbglm_1.5.0.tar.gz(r-4.4-noble)
fbglm_1.5.0.tgz(r-4.4-emscripten)fbglm_1.5.0.tgz(r-4.3-emscripten)
fbglm.pdf |fbglm.html✨
fbglm/json (API)
NEWS

# Install 'fbglm' in R:
install.packages('fbglm', repos = 'https://cloud.r-project.org')

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 428 downloads 3 exports 10 dependencies

Last updated 5 months agofrom:ad179bb912. Checks:1 OK, 2 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 25 2025
R-4.5-linuxNOTEMar 25 2025
R-4.4-linuxNOTEMar 25 2025

Exports:fbglmtestZINB2

Dependencies:agridatbbmlebdsmatrixfrbinomlatticeMASSMatrixmvtnormnumDerivpscl

Citation

To cite package ‘fbglm’ in publications use:

Lee J (2024). fbglm: Fractional Binomial Regression Model. R package version 1.5.0, https://CRAN.R-project.org/package=fbglm.

Corresponding BibTeX entry: 

  @Manual{,
    title = {fbglm: Fractional Binomial Regression Model},
    author = {Jeonghwa Lee},
    year = {2024},
    note = {R package version 1.5.0},
    url = {https://CRAN.R-project.org/package=fbglm},
  }

Readme and manuals

fbglm

The goal of fbglm is to fit fractional binomial regression model to count data with excess zeros, and compare the model fit to other zero-inflated regression models.

Installation

You can install the development version of fbglm from GitHub with:

# install.packages("devtools")
devtools::install_github("leejeo25/fbglm")