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Project Status: Active – The project has reached a stable, usable state and is being actively developed. minimal R version

pseudoCure

pseudoCure: Analysis of survival data with cure fraction and variable selection: A pseudo-observations approach

The pseudoCure package implements a pseudo-observation approach for survival data with a cure fraction. The modeling framework is based on the Cox proportional hazards mixture cure model and the bounded cumulative hazard model.

Installation

Install and load the package from GitHub using

> devtools::install_github("stc04003/pseudoCure")
> library(pseudoCure)
> packageVersion("pseudoCure")

Reference

Su, C.-L., Chiou, S., Lin, F.-C., and Platt, R. W. (2022) Analysis of survival data with cure fraction and variable selection: A pseudo-observations approach Statistical Methods in Medical Research, 31(11): 2037–2053.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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