tranSurv: Transformation Model Based Estimation of Survival and Regression Under Dependent Truncation and Independent Censoring

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.

Version: 1.2.2
Imports: rootSolve, truncSP, survival, SQUAREM, methods
Suggests: MASS, boot
Published: 2021-01-12
Author: Sy Han (Steven) Chiou [aut, cre], Jing Qian [aut]
Maintainer: Sy Han (Steven) Chiou <schiou at utdallas.edu>
BugReports: https://github.com/stc04003/tranSurv/issues
License: GPL (≥ 3)
URL: https://github.com/stc04003/tranSurv
NeedsCompilation: yes
Materials: NEWS
CRAN checks: tranSurv results

Downloads:

Reference manual: tranSurv.pdf
Package source: tranSurv_1.2.2.tar.gz
Windows binaries: r-devel: tranSurv_1.2.2.zip, r-release: tranSurv_1.2.2.zip, r-oldrel: tranSurv_1.2.2.zip
macOS binaries: r-release: tranSurv_1.2.2.tgz, r-oldrel: tranSurv_1.2.2.tgz
Old sources: tranSurv archive

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