Package: survdt Title: Improved Methods for Survival Analysis under Double Truncation Version: 0.9.0 Authors@R: c( person("Omar", "Vazquez", email = "omar.vazquez@pennmedicine.upenn.edu", role = c("aut", "cre", "cph"), comment = c(ORCID = "0009-0009-4137-3333")), person(c("Sharon", "X."), "Xie", role = "ths", comment = c(ORCID = "0000-0002-7886-4103"))) Description: Contains existing and novel methods for nonparametric analysis and Cox regression analysis with doubly truncated survival data, as described in Vazquez and Xie (2025) . Includes survival curves and hazard estimates through nonparametric maximum likelihood estimation, various tests for detecting group differences or non-ignorable sampling bias, and inverse probability weighted Cox regression with several options of nonparametric weights. Also implements diagnostics for key modeling assumptions such as quasi-independent truncation and the positivity assumption. Closed-form standard errors are available for all estimates, i.e. bootstrapping is not required. License: GPL (>= 3) Encoding: UTF-8 RoxygenNote: 7.3.2 Imports: ggplot2, igraph, stats, survival Depends: R (>= 2.10) LazyData: true Suggests: knitr, rmarkdown VignetteBuilder: knitr NeedsCompilation: no Packaged: 2026-06-05 06:08:29 UTC; root Author: Omar Vazquez [aut, cre, cph] (ORCID: ), Sharon X. Xie [ths] (ORCID: ) Maintainer: Omar Vazquez Repository: https://cran.r-universe.dev Date/Publication: 2026-05-06 20:50:27 UTC RemoteUrl: https://github.com/cran/survdt RemoteRef: HEAD RemoteSha: a06e20567d9728c6da7ea7af4584d40325e54778