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geecure  

Marginal Proportional Hazards Mixture Cure Models with Generalized Estimating Equations
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("geecure", "1.0-6")



Attach the package and use:
library("geecure")
Maintained by
Yi Niu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-27
Latest Update: 2018-04-01
Description:
Features the marginal parametric and semi-parametric proportional hazards mixture cure models for analyzing clustered survival data with a possible cure fraction. A reference is Yi Niu and Yingwei Peng (2014) .
How to cite:
Yi Niu (2017). geecure: Marginal Proportional Hazards Mixture Cure Models with Generalized Estimating Equations. R package version 1.0-6, https://cran.r-project.org/web/packages/geecure. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0-2 (2017-11-27 10:45)
Other packages that cited geecure R package
View geecure citation profile
Other R packages that geecure depends, imports, suggests or enhances
Complete documentation for geecure
Functions, R codes and Examples using the geecure R package
Some associated functions: basesurv . bmt . emes . es . geebt . geecure-package . geecure . geecure2 . geega . initial_Lambda . print.geecure . print.geecure2 . smoking . tonsil . tonsil_bootsample . varest . varest2 . 
Some associated R codes: basesurv.R . emes.R . es.R . geebt.R . geecure.R . geecure2.R . geega.R . initial_Lambda.R . varest.R . varest2.R .  Full geecure package functions and examples
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