The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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>.
| Version: | 1.0 |
| Depends: | MASS, pracma |
| Published: | 2023-06-26 |
| Author: | Xin Guo [aut, cph, cre], Qiang Fu [aut, cph] |
| Maintainer: | Xin Guo <xin.guo at uq.edu.au> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | GRCRegression results |
| Reference manual: | GRCRegression.pdf |
| Package source: | GRCRegression_1.0.tar.gz |
| Windows binaries: | r-devel: GRCRegression_1.0.zip, r-release: GRCRegression_1.0.zip, r-oldrel: GRCRegression_1.0.zip |
| macOS binaries: | r-release (arm64): GRCRegression_1.0.tgz, r-oldrel (arm64): GRCRegression_1.0.tgz, r-release (x86_64): GRCRegression_1.0.tgz, r-oldrel (x86_64): GRCRegression_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=GRCRegression to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.