surviveR: Tidyverse-Based Reliability and Survival Data Visualization Tool

A suite of reliability/survival data visualization tools that leverage the Tidyverse Grammar of Graphics. Time-based aesthetics may be specified alongside standard non-aesthetic arguments to generate highly customizable graphs.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: ggplot2, tibble, survival, flexsurv, broom, rlang, dplyr, forcats, stringr, tidyr, scales, vctrs
Suggests: knitr, rmarkdown, systemfonts
Published: 2026-11-07
DOI: 10.32614/CRAN.package.surviveR (may not be active yet)
Author: Kristen Gore [aut, cre, cph], Samuel Jeffe [aut], Emma Schneider [aut], M Caputo [ctb], Izzy Robbins [ctb], Alexander Stonas [ctb], Serenna Walter [ctb], William Q. Meeker [ctb], Luis A. Escobar [ctb], Francis G. Pascual [ctb] (comment: Statistical Methods for Reliability Data, 2nd ed., John Wiley & Sons, 2022)
Maintainer: Kristen Gore <kgore at willamette.edu>
BugReports: https://github.com/KLGORE/surviveR/issues
License: GPL (≥ 3)
URL: https://github.com/KLGORE/surviveR
NeedsCompilation: no
Materials: README
CRAN checks: surviveR results

Documentation:

Reference manual: surviveR.html , surviveR.pdf

Downloads:

Package source: surviveR_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): surviveR_1.0.0.tgz, r-oldrel (arm64): surviveR_1.0.0.tgz, r-release (x86_64): surviveR_1.0.0.tgz, r-oldrel (x86_64): not available

Linking:

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