Package: eventglm Type: Package Title: Regression Models for Event History Outcomes Version: 1.4.5 Date: 2025-02-13 Authors@R: c(person(given = "Michael C", family = "Sachs", role = c("aut", "cre"), email = "sachsmc@gmail.com"), person(given = "Erin E", family = "Gabriel", role = "aut"), person(given = "Morten", family = "Overgaard", role = c("ctb"), comment = "Corrected variance calculation"), person(given = "Thomas A", family = "Gerds", role = "ctb", comment = "Fast computation of leave one out cumulative incidence"), person(given = "Terry", family = "Therneau", role = "ctb", comment = "Restricted mean computation")) Description: A user friendly, easy to understand way of doing event history regression for marginal estimands of interest, including the cumulative incidence and the restricted mean survival, using the pseudo observation framework for estimation. For a review of the methodology, see Andersen and Pohar Perme (2010) or Sachs and Gabriel (2022) . The interface uses the well known formulation of a generalized linear model and allows for features including plotting of residuals, the use of sampling weights, and corrected variance estimation. License: GPL-3 URL: https://sachsmc.github.io/eventglm/ BugReports: https://github.com/sachsmc/eventglm/issues/ Encoding: UTF-8 LazyData: true Suggests: testthat, prodlim, knitr, rmarkdown, rio, data.table RoxygenNote: 7.1.1 Imports: survival, sandwich, stats, geepack Depends: R (>= 2.10) VignetteBuilder: knitr Config/pak/sysreqs: libicu-dev Repository: https://sachsmc.r-universe.dev Date/Publication: 2025-02-28 15:00:13 UTC RemoteUrl: https://github.com/sachsmc/eventglm RemoteRef: HEAD RemoteSha: c112fcaf02fc487f7da31ecc57e3957593e7e6a9 NeedsCompilation: yes Packaged: 2026-06-24 05:10:57 UTC; root Author: Michael C Sachs [aut, cre], Erin E Gabriel [aut], Morten Overgaard [ctb] (Corrected variance calculation), Thomas A Gerds [ctb] (Fast computation of leave one out cumulative incidence), Terry Therneau [ctb] (Restricted mean computation) Maintainer: Michael C Sachs