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pcdreg: Semiparametric Regression for Panel Count Data

Fits semiparametric regression models to panel count data, that is, to recurrent event processes observed only at intermittent examination times, allowing covariates to be time-varying. The proportional rate model is fitted by nonparametric maximum likelihood through an expectation-maximization algorithm under a working Poisson assumption, while inference does not require that assumption to hold; two computationally inexpensive covariance estimators are provided, a robust sandwich estimator that remains consistent when the Poisson assumption fails and an efficient information estimator that is a fast substitute for profile likelihood when it holds, with the profile likelihood estimator available for comparison. The proportional means model is fitted by the estimating equation of Hu, Sun and Wei (2003) <doi:10.1111/1467-9469.00316>. Methods for the rate model are described in Sun, Guo, Li, Tu and Sun (2024) <doi:10.3150/23-BEJ1713>.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: Rcpp, cli, generics, ggplot2, rlang, stats, tibble
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-11-10
DOI: 10.32614/CRAN.package.pcdreg (may not be active yet)
Author: Dayu Sun ORCID iD [aut, cre], Yuanyuan Guo [ctb] (co-author of the method paper), Yang Li [ctb] (co-author of the method paper), Wanzhu Tu [ctb] (co-author of the method paper), Jianguo Sun [ctb] (co-author of the method paper)
Maintainer: Dayu Sun <dayusun at iu.edu>
BugReports: https://github.com/dayusun/pcdreg/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/dayusun/pcdreg, https://www.sundayu.me/pcdreg/
NeedsCompilation: yes
Language: en-GB
Citation: pcdreg citation info
Materials: README, NEWS
CRAN checks: pcdreg results

Documentation:

Reference manual: pcdreg.html , pcdreg.pdf
Vignettes: Where pcdreg fits among R packages for panel count data (source, R code)
Preparing data and specifying the model (source, R code)
Regression analysis of panel count data (source, R code)

Downloads:

Package source: pcdreg_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): pcdreg_0.1.0.tgz, r-oldrel (arm64): pcdreg_0.1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pcdreg 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.
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