Package: pseudoCure
Title: A Pseudo-Observations Approach for Analyzing Survival Data with
        a Cure Fraction
Version: 1.0.0
Authors@R: c(person(given = "Sy Han (Steven)", family = "Chiou",
	   email = "schiou@smu.edu",
	   role = c("aut", "cre")),
	   person(given = "Chien-Lin", family = " Su",
	   email = "marksu740824@gmail.com", role = "aut"),
	   person(given = "Feng-Chang", family = " Lin",
	   email = "flin@bios.unc.edu", role = "aut"))
Date: 2025-02-05
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. 
License: GPL (>= 2)
Depends: R (>= 4.2.0)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2025-02-05 14:30:37 UTC; schiou
Encoding: UTF-8
Imports: Rcpp, MASS, ggplot2, ggpubr, rlang
Author: Sy Han (Steven) Chiou [aut, cre],
  Chien-Lin Su [aut],
  Feng-Chang Lin [aut]
Maintainer: Sy Han (Steven) Chiou <schiou@smu.edu>
Repository: CRAN
Date/Publication: 2025-02-06 13:10:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-05-01 04:38:10 UTC; unix
Archs: pseudoCure.so.dSYM
