Package: fbglm 1.5.0
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:
fbglm_1.5.0.tar.gz
fbglm_1.5.0.zip(r-4.5)fbglm_1.5.0.zip(r-4.4)fbglm_1.5.0.zip(r-4.3)
fbglm_1.5.0.tgz(r-4.5-any)fbglm_1.5.0.tgz(r-4.4-any)fbglm_1.5.0.tgz(r-4.3-any)
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 = c('https://leejeo25.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 months agofrom:ad179bb912. Checks:1 OK, 8 NOTE. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 25 2025 |
R-4.5-win | NOTE | Mar 25 2025 |
R-4.5-mac | NOTE | Mar 25 2025 |
R-4.5-linux | NOTE | Mar 25 2025 |
R-4.4-win | NOTE | Mar 25 2025 |
R-4.4-mac | NOTE | Mar 25 2025 |
R-4.4-linux | NOTE | Mar 25 2025 |
R-4.3-win | NOTE | Mar 25 2025 |
R-4.3-mac | NOTE | Mar 25 2025 |
Dependencies:agridatbbmlebdsmatrixfrbinomlatticeMASSMatrixmvtnormnumDerivpscl