Package: pseudoCure
Title: A Pseudo-Observations Approach for Analyzing Survival Data with
        a Cure Fraction
Version: 1.1.0
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: 2026-04-05
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
NeedsCompilation: yes
Packaged: 2026-10-11 09:29:26 UTC; root
Encoding: UTF-8
Imports: Rcpp, MASS, ggplot2, ggpubr, rlang
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: cmake make libicu-dev
Repository: https://stc04003.r-universe.dev
Date/Publication: 2026-08-12 04:01:34 UTC
RemoteUrl: https://github.com/stc04003/pseudocure
RemoteRef: HEAD
RemoteSha: b879cf4be8c3aa3a666d0d07b00db98fe473ffd0
Author: Sy Han (Steven) Chiou [aut, cre],
  Chien-Lin Su [aut],
  Feng-Chang Lin [aut]
Maintainer: Sy Han (Steven) Chiou <schiou@smu.edu>