Evaluate a Longitudinal Surrogate with a Censored Outcome R package survivalsurrogate version 1.1 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/>. Software Depends: R (>= 4.1.0) Imports: stats, dplyr, magrittr, glue, mlr3, purrr, SparseM, rBeta2009, data.table, utils, rpart Suggests: mlr3learners Layla Parast <parast@austin.utexas.edu> Comprehensive R Archive Network (CRAN) Denis Agniel [aut], Layla Parast [aut, cre] GPL 2025-06-05 application/tgz https://CRAN.R-project.org/package=survivalsurrogate doi:10.32614/CRAN.package.survivalsurrogate