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-4.7-any)fbglm_1.5.0.zip(r-4.6-any)fbglm_1.5.0.zip(r-4.5-any)
fbglm_1.5.0.tgz(r-4.6-any)fbglm_1.5.0.tgz(r-4.5-any)
fbglm_1.5.0.tar.gz(r-4.7-any)fbglm_1.5.0.tar.gz(r-4.6-any)
fbglm_1.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fbglm/json (API)
| # 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 from:ad179bb912. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 96 | ||
| source / vignettes | OK | 165 | ||
| linux-release | NOTE | 105 | ||
| macos-release | NOTE | 164 | ||
| macos-oldrel | NOTE | 144 | ||
| windows-devel | NOTE | 65 | ||
| windows-release | NOTE | 63 | ||
| windows-oldrel | NOTE | 67 | ||
| wasm-release | OK | 84 |
Dependencies:agridatbbmlebdsmatrixfrbinomlatticeMASSMatrixmvtnormnumDerivpscl
