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 |
| DOI: | 10.32614/CRAN.package.GRCRegression |
| 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.html , 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 |
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