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: | 1.2.1 |
| Imports: | rootSolve, truncSP, survival, SQUAREM, methods |
| Suggests: | MASS, boot |
| Published: | 2020-07-28 |
| 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 |
| Materials: | NEWS |
| CRAN checks: | tranSurv results |
| Reference manual: | tranSurv.pdf |
| Package source: | tranSurv_1.2.1.tar.gz |
| Windows binaries: | r-devel: tranSurv_1.2.1.zip, r-release: tranSurv_1.2.1.zip, r-oldrel: tranSurv_1.2.1.zip |
| macOS binaries: | r-release: tranSurv_1.2.1.tgz, r-oldrel: tranSurv_1.2.1.tgz |
| Old sources: | tranSurv archive |
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