Package: ThresholdROCsurvival
Type: Package
Title: Threshold and AUC Estimation with Right-Censored Data at a Fixed
        Time t
Version: 1.0.3
Date: 2022-11-27
Authors@R: c(person("Sara", "Perez-Jaume", email="spjaume@gmail.com", role=c("aut", "cre")),
             person(c("Josep", "L"), "Carrasco", role="aut"))
Description: We focus on the estimation of optimal thresholds and AUCs when the outcome of interest is the status (alive or dead) of the subjects at a certain time-point t. This binary status is determined by right-censored times to event and it is missing for those subjects censored before t. Here we provide three methods (missing exclusion, imputation of censored times and using time-dependent ROC curves) to estimate optimal thresholds and AUCs in this context. Two references for the methods used here are Skaltsa et al. (2010) <doi:10.1002/bimj.200900294> and Heagerty et al. (2000) <doi:10.1111/j.0006-341x.2000.00337.x>.
License: GPL (>= 2)
Depends: R (>= 4.0.0)
Imports: boot, InformativeCensoring, pROC, psych, survival,
        ThresholdROC
LazyData: TRUE
NeedsCompilation: no
Packaged: 2022-11-27 18:44:33 UTC; spjau
Author: Sara Perez-Jaume [aut, cre],
  Josep L Carrasco [aut]
Maintainer: Sara Perez-Jaume <spjaume@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-27 19:10:02 UTC
