doi:10.1093/jrsssb/qkae119>. A tutorial for this package can be found at <https://www.laylaparast.com/survivalsurrogate> and a Shiny App implementing the package can be found at <https://parastlab.shinyapps.io/survivalsurrogateApp/>.">

survivalsurrogate: Evaluate a Longitudinal Surrogate with a Censored Outcome (original) (raw)

Provides influence function-based methods to evaluate a longitudinal surrogate marker in a censored time-to-event outcome setting, with plug-in and targeted maximum likelihood estimation options. Details are described in: Agniel D and Parast L (2025). "Robust Evaluation of Longitudinal Surrogate Markers with Censored Data." Journal of the Royal Statistical Society: Series B <doi:10.1093/jrsssb/qkae119>. A tutorial for this package can be found at <https://www.laylaparast.com/survivalsurrogate> and a Shiny App implementing the package can be found at <https://parastlab.shinyapps.io/survivalsurrogateApp/>.

Version: 1.1
Depends: R (≥ 4.1.0)
Imports: stats, dplyr, magrittr, glue, mlr3, purrr, SparseM, rBeta2009, data.table, utils, rpart
Suggests: mlr3learners
Published: 2025-06-05
DOI: 10.32614/CRAN.package.survivalsurrogate
Author: Denis Agniel [aut], Layla Parast [aut, cre]
Maintainer: Layla Parast
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: survivalsurrogate results

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