Package: bigtcr
Title: Nonparametric Analysis of Bivariate Gap Time with Competing
        Risks
Version: 1.1
Author: Chenguang Wang [aut, cre],
    Chiung-Yu Huang [aut],
    Mei-Cheng Wang [aut]
Maintainer: Chenguang Wang <cwang68@jhmi.edu>
Description: For studying recurrent disease and death with competing
    risks, comparisons based on the well-known cumulative incidence function
    can be confounded by different prevalence rates of the competing events.
    Alternatively, comparisons of the conditional distribution of the survival
    time given the failure event type are more relevant for investigating the
    prognosis of different patterns of recurrence disease. This package implements
    a nonparametric estimator for the conditional cumulative incidence function
    and a nonparametric conditional bivariate cumulative incidence function for the
    bivariate gap times proposed in Huang et al. (2016) <doi:10.1111/biom.12494>.
Depends: R (>= 3.4)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2018-01-27 16:33:27 UTC; cwang68
Repository: CRAN
Date/Publication: 2018-01-27 16:54:52 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-26 12:53:47 UTC; unix
Archs: bigtcr.so.dSYM
