tranSurv: Estimating a Survival Distribution in the Presence of Dependent Left Truncation and Right Censoring

A structural transformation model for a latent, quasi-independent truncation time as a function of the observed dependent truncation time and the event time, and an unknown dependence parameter. The dependence parameter is chosen to minimize the conditional Kendall's tau (Martin and Betensky, 2005) <doi:10.1198/016214504000001538>. The marginal distribution for the truncation time and the event time are completely left unspecified.

Version: 1.2.0
Imports: survival, SQUAREM, methods
Suggests: MASS, boot
Published: 2019-05-24
Author: Sy Han (Steven) Chiou [aut, cre]
Maintainer: Sy Han (Steven) Chiou <schiou at utdallas.edu>
BugReports: http://github.com/stc04003/tranSurv/issues
License: GPL (≥ 3)
URL: http://github.com/stc04003/tranSurv
NeedsCompilation: yes
CRAN checks: tranSurv results

Downloads:

Reference manual: tranSurv.pdf
Package source: tranSurv_1.2.0.tar.gz
Windows binaries: r-devel: tranSurv_1.2.0.zip, r-devel-gcc8: tranSurv_1.2.0.zip, r-release: tranSurv_1.2.0.zip, r-oldrel: tranSurv_1.2.0.zip
OS X binaries: r-release: tranSurv_1.2.0.tgz, r-oldrel: tranSurv_1.2.0.tgz
Old sources: tranSurv archive

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