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eventglm
View on CRAN: Click
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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]
[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:
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imports, suggests or enhances
Complete documentation for eventglm
Functions, R codes and Examples using
the eventglm R package
Some associated functions: calc_ipcw_pos . check_mod_cens . colon . confint.pseudoglm . cumincglm . eventglm . get_pseudo_cuminc . get_pseudo_rmean . jackknife.competing.risks2 . jackknife.survival2 . leaveOneOut.competing.risks . leaveOneOut.competing.risks2 . leaveOneOut.survival . leaveOneOut.survival2 . match_cause . mgus2 . print.pseudoglm . pseudo_aareg . pseudo_coxph . pseudo_independent . pseudo_rmst2 . pseudo_stratified . reexports . residuals.pseudoglm . rmeanglm . summary.pseudoglm . vcov.pseudoglm .
Some associated R codes: datasets.R . event-model-fit.R . eventglm-package.R . jackknife-cuminc.R . pseudo-modules.R . pseudoglm-methods.R . utils.R . Full eventglm package functions and examples
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