pseudoCure-package: pseudoCure: A pseudo-observations approach for analyzing...
In pseudoCure: A Pseudo-Observations Approach for Analyzing Survival Data with a Cure Fraction
pseudoCure-package R Documentation
pseudoCure: A pseudo-observations approach for analyzing survival data with a cure fraction
Description
A collection of easy-to-use tools for regression analysis of 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.
The pseudo-observations approach is utilized to assess covariate effects and
embedded in the variable selection procedure.
Author(s)
Maintainer: Sy Han (Steven) Chiou schiou@smu.edu
Authors:
Chien-Lin Su marksu740824@gmail.com
Feng-Chang Lin flin@bios.unc.edu
pseudoCure documentation built on April 12, 2025, 1:46 a.m.
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| pseudoCure-package | R Documentation |
pseudoCure: A pseudo-observations approach for analyzing survival data with a cure fraction
Description
A collection of easy-to-use tools for regression analysis of 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. The pseudo-observations approach is utilized to assess covariate effects and embedded in the variable selection procedure.
Author(s)
Maintainer: Sy Han (Steven) Chiou schiou@smu.edu
Authors:
Chien-Lin Su marksu740824@gmail.com
Feng-Chang Lin flin@bios.unc.edu
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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