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eventglm  

Regression Models for Event History Outcomes
View on CRAN: Click here


Download and install eventglm package within the R console
Install from CRAN:
install.packages("eventglm")

Install from Github:
library("remotes")
install_github("cran/eventglm")

Install by package version:
library("remotes")
install_version("eventglm", "1.4.5")



Attach the package and use:
library("eventglm")
Maintained by
Michael C Sachs
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-06
Latest Update: 2025-03-03
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.
How to cite:
Michael C Sachs (2020). eventglm: Regression Models for Event History Outcomes. R package version 1.4.5, https://cran.r-project.org/web/packages/eventglm. Accessed 11 Mar. 2026.
Previous versions and publish date:
1.0.1 (2020-11-06 17:30), 1.0.2 (2020-11-10 11:30), 1.2.1 (2021-06-01 12:10), 1.2.2 (2022-04-26 13:20)
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Complete documentation for eventglm
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