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>.

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

Documentation:

Reference manual: GRCRegression.pdf

Downloads:

Package source: GRCRegression_1.0.tar.gz
Windows binaries: r-prerel: GRCRegression_1.0.zip, r-release: GRCRegression_1.0.zip, r-oldrel: GRCRegression_1.0.zip
macOS binaries: r-prerel (arm64): GRCRegression_1.0.tgz, r-release (arm64): GRCRegression_1.0.tgz, r-oldrel (arm64): GRCRegression_1.0.tgz, r-prerel (x86_64): GRCRegression_1.0.tgz, r-release (x86_64): GRCRegression_1.0.tgz

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