Package: pcdreg Type: Package Title: Semiparametric Regression for Panel Count Data Version: 0.1.0.9000 Authors@R: c( person("Dayu", "Sun", email = "dayusun@iu.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7149-3303")), person("Yuanyuan", "Guo", role = "ctb", comment = "co-author of the method paper"), person("Yang", "Li", role = "ctb", comment = "co-author of the method paper"), person("Wanzhu", "Tu", role = "ctb", comment = "co-author of the method paper"), person("Jianguo", "Sun", role = "ctb", comment = "co-author of the method paper") ) Description: 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) . Methods for the rate model are described in Sun, Guo, Li, Tu and Sun (2024) . License: GPL (>= 2) Encoding: UTF-8 Language: en-GB Depends: R (>= 4.1.0) Imports: Rcpp, cli, generics, ggplot2, rlang, stats, tibble LinkingTo: Rcpp, RcppArmadillo Suggests: testthat (>= 3.0.0), knitr, rmarkdown VignetteBuilder: knitr RoxygenNote: 7.3.3 Roxygen: list(markdown = TRUE) URL: https://github.com/dayusun/pcdreg, https://www.sundayu.me/pcdreg/ BugReports: https://github.com/dayusun/pcdreg/issues Config/testthat/edition: 3 NeedsCompilation: yes Repository: https://dayusun.r-universe.dev Date/Publication: 2026-11-10 16:48:43 UTC RemoteUrl: https://github.com/dayusun/pcdreg RemoteRef: HEAD RemoteSha: d0dc0f492a2cf03e49117eca265d9e25cc8e75b6 Packaged: 2026-11-11 13:53:46 UTC; root Author: Dayu Sun [aut, cre] (ORCID: ), 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