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pseudoCure

A Pseudo-Observations Approach for Analyzing Survival Data with a Cure Fraction

v1.0.0 · Feb 6, 2025 · GPL (>= 2)

Description

A collection of easy-to-use tools for regression analysis of survival data with a cure fraction proposed in Su et al. (2022) <doi:10.1177/09622802221108579>. The modeling framework is based on the Cox proportional hazards mixture cure model and the bounded cumulative hazard (promotion time cure) model. The pseudo-observations approach is utilized to assess covariate effects and embedded in the variable selection procedure.

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installed package size

installed size is  5.0Mb
  sub-directories of 1Mb or more:
    libs   4.8Mb

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NOTE 13 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  5.0Mb
  sub-directories of 1Mb or more:
    libs   4.8Mb

Dependency Network

Dependencies Reverse dependencies Rcpp MASS ggplot2 ggpubr rlang pseudoCure

Version History

new 1.0.0 Mar 10, 2026