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
In views:	Survival
CRAN checks:	tranSurv results

Documentation:

Reference manual:

tranSurv.pdf

Downloads:

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 (arm64): tranSurv_1.2.2.tgz, r-oldrel (arm64): tranSurv_1.2.2.tgz, r-release (x86_64): tranSurv_1.2.2.tgz, r-oldrel (x86_64): tranSurv_1.2.2.tgz
Old sources:	tranSurv archive

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