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:
2.0.2
Depends:
R (≥ 4.1.0)
Imports:
bshazard,
censored,
cli,
data.table,
dplyr,
flexsurv,
flexsurvcure,
ggplot2,
ggsurvfit (≥ 1.2.0),
openxlsx,
parsnip,
plotly,
purrr,
rlang,
scales, stats,
survival,
tibble,
tidyr,
usethis, utils
Published:
2025年10月08日
Author:
Niall Davison
ORCID iD
[aut, cre],
Brad Kievit [aut],
Maple Health Group, LLC [cph, fnd]
Maintainer:
Niall Davison <niall.davison at maplehealthgroup.com>
NeedsCompilation:
no
Language:
en-US
Documentation:
Downloads:
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