CRAN/E | eventglm

eventglm

Regression Models for Event History Outcomes

Installation

About

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) doi:10.1177/0962280209105020 or Sachs and Gabriel (2022) doi:10.18637/jss.v102.i09. 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.

Citation eventglm citation info
sachsmc.github.io/eventglm/
Bug report File report

Key Metrics

Version 1.2.2
R ≥ 2.10
Published 2022-04-26 730 days ago
Needs compilation? yes
License GPL-3
CRAN checks eventglm results

Downloads

Yesterday 10 -23%
Last 7 days 72 0%
Last 30 days 348 +1%
Last 90 days 997 -5%
Last 365 days 3.708 +0%

Maintainer

Maintainer

Michael C Sachs

sachsmc@gmail.com

Authors

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)

Material

README
NEWS
Reference manual
Package source

Vignettes

Examples of using eventglm and interpreting the results
Extending eventglm
Comparison to other software

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

eventglm archive

Depends

R ≥ 2.10

Imports

survival
sandwich
stats
geepack

Suggests

testthat
prodlim
knitr
rmarkdown
rio
data.table