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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
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: surviveR_1.0.0.zip, r-release: surviveR_1.0.0.zip, 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): surviveR_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=surviveR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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