# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "tranSurv" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'tranSurv: Transformation Model Based Estimation of Survival and Regression
  Under Dependent Truncation and Independent Censoring'
version: 1.2.2
doi: 10.32614/CRAN.package.tranSurv
abstract: 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) <https://doi.org/10.1198/016214504000001538>
  or the regression coefficient estimates (Jones and Crowley, 1992) <https://doi.org/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.
authors:
- family-names: Chiou
  given-names: Sy Han (Steven)
  email: schiou@utdallas.edu
- family-names: Qian
  given-names: Jing
  email: qian@schoolph.umass.edu
repository: https://cranhaven.r-universe.dev
repository-code: https://github.com/stc04003/tranSurv
commit: d984f585dbd5520d82a497cc221981e9ff024c09
url: https://github.com/stc04003/tranSurv
date-released: '2021-01-12'
contact:
- family-names: Chiou
  given-names: Sy Han (Steven)
  email: schiou@utdallas.edu