easysurv: Simplify Survival Data Analysis and Model Fitting
Inspect survival data, plot Kaplan-Meier curves, assess the
proportional hazards assumption, fit parametric survival models,
predict and plot survival and hazards, and export the outputs to
Excel. A simple interface for fitting survival models using
'flexsurv::flexsurvreg()', 'flexsurv::flexsurvspline()',
'flexsurvcure::flexsurvcure()', and 'survival::survreg()'.
Version: |
2.0.1 |
Depends: |
R (≥ 4.1.0) |
Imports: |
bshazard, censored, cli, data.table, dplyr, flexsurv, flexsurvcure, ggplot2, ggsurvfit, openxlsx, parsnip, plotly, purrr, rlang, scales, stats, survival, tibble, tidyr, usethis, utils |
Suggests: |
knitr, rmarkdown, spelling, testthat (≥ 3.0.0) |
Published: |
2024-06-21 |
DOI: |
10.32614/CRAN.package.easysurv |
Author: |
Niall Davison
[aut, cre],
Brad Kievit [aut],
Maple Health Group, LLC [cph, fnd] |
Maintainer: |
Niall Davison <niall.davison at maplehealthgroup.com> |
BugReports: |
https://github.com/Maple-Health-Group/easysurv/issues |
License: |
MIT + file LICENSE |
URL: |
https://github.com/Maple-Health-Group/easysurv,
https://maple-health-group.github.io/easysurv/ |
NeedsCompilation: |
no |
Language: |
en-US |
Materials: |
README NEWS |
CRAN checks: |
easysurv results |
Documentation:
Downloads:
Linking:
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