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) <doi:10.1007/s10985-025-09650-5>. 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: 2026-05-03 21:12:41 UTC; ovazquez
Author: Omar Vazquez [aut, cre, cph] (ORCID:
    <https://orcid.org/0009-0009-4137-3333>),
  Sharon X. Xie [ths] (ORCID: <https://orcid.org/0000-0002-7886-4103>)
Maintainer: Omar Vazquez <omar.vazquez@pennmedicine.upenn.edu>
Repository: CRAN
Date/Publication: 2026-05-06 19:30:02 UTC
Built: R 4.5.2; ; 2026-05-06 20:37:59 UTC; unix
