Package: GRCRegression 1.0
GRCRegression: Modified Poisson Regression of Grouped and Right-Censored Counts
Implement maximum likelihood estimation for Poisson generalized linear models with grouped and right-censored count data. Intended to be used for analyzing grouped and right-censored data, which is widely applied in many branches of social sciences. The algorithm implemented is described in Fu et al., (2021) <doi:10.1111/rssa.12678>.
Authors:
GRCRegression_1.0.tar.gz
GRCRegression_1.0.zip(r-4.5)GRCRegression_1.0.zip(r-4.4)GRCRegression_1.0.zip(r-4.3)
GRCRegression_1.0.tgz(r-4.4-any)GRCRegression_1.0.tgz(r-4.3-any)
GRCRegression_1.0.tar.gz(r-4.5-noble)GRCRegression_1.0.tar.gz(r-4.4-noble)
GRCRegression_1.0.tgz(r-4.4-emscripten)GRCRegression_1.0.tgz(r-4.3-emscripten)
GRCRegression.pdf |GRCRegression.html✨
GRCRegression/json (API)
| # Install 'GRCRegression' in R: |
| install.packages('GRCRegression', repos = c('https://xguo20.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 1 years agofrom:e5b71706a2. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 09 2024 |
| R-4.5-win | OK | Nov 09 2024 |
| R-4.5-linux | OK | Nov 09 2024 |
| R-4.4-win | OK | Nov 09 2024 |
| R-4.4-mac | OK | Nov 09 2024 |
| R-4.3-win | OK | Nov 09 2024 |
| R-4.3-mac | OK | Nov 09 2024 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Artificial Data Generation | genData.P |
| Maximum likelihood estimation for modified Poisson regression of GRC data | GRCglm.P |
| The log link | link.log |
| Summary of estimates. | summary.GRCglm.P |
