DESCRIPTION

Package: tranSurv
Title: Transformation Model Based Estimation of Survival and Regression Under Dependent Truncation and Independent Censoring
Version: 1.2.2
Authors@R: c(person("Sy Han (Steven)", "Chiou", email = "schiou@utdallas.edu", role = c("aut", "cre")), person("Jing", "Qian", email = "qian@schoolph.umass.edu", role = "aut"))
Description: A latent, quasi-independent truncation time is assumed to be linked with the observed dependent truncation time, the event time, and an unknown transformation parameter via a structural transformation model. The transformation parameter is chosen to minimize the conditional Kendall's tau (Martin and Betensky, 2005) <doi:10.1198/016214504000001538> or the regression coefficient estimates (Jones and Crowley, 1992) <doi:10.2307/2336782>. The marginal distribution for the truncation time and the event time are completely left unspecified. The methodology is applied to survival curve estimation and regression analysis.
License: GPL (>= 3)
URL: https://github.com/stc04003/tranSurv
BugReports: https://github.com/stc04003/tranSurv/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: rootSolve, truncSP, survival, SQUAREM, methods
Suggests: MASS, boot