tranSurv
Transformation-Based Regression under Dependent Truncation
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.4 |
rolling linux/jammy R-4.5 | tranSurv_1.2.4.tar.gz |
174.7 KiB |
1.2.4 |
rolling linux/noble R-4.5 | tranSurv_1.2.4.tar.gz |
174.7 KiB |
1.2.4 |
rolling source/ R- | tranSurv_1.2.4.tar.gz |
27.0 KiB |
1.2.4 |
latest linux/jammy R-4.5 | tranSurv_1.2.4.tar.gz |
174.7 KiB |
1.2.4 |
latest linux/noble R-4.5 | tranSurv_1.2.4.tar.gz |
174.7 KiB |
1.2.4 |
latest source/ R- | tranSurv_1.2.4.tar.gz |
27.0 KiB |
1.2.4 |
2026-04-26 source/ R- | tranSurv_1.2.4.tar.gz |
27.0 KiB |
1.2.4 |
2026-04-23 source/ R- | tranSurv_1.2.4.tar.gz |
27.0 KiB |
1.2.4 |
2026-04-09 windows/windows R-4.5 | tranSurv_1.2.4.zip |
183.3 KiB |