ggflexsurvplot: Ggplots of Fitted Flexible Survival Models

In survminer: Drawing Survival Curves using 'ggplot2'

Ggplots of Fitted Flexible Survival Models

Description

Create ggplot2-based graphs for flexible survival models.

Usage

ggflexsurvplot(
  fit,
  data = NULL,
  fun = c("survival", "cumhaz"),
  summary.flexsurv = NULL,
  size = 1,
  conf.int = FALSE,
  conf.int.flex = conf.int,
  conf.int.km = FALSE,
  legend.labs = NULL,
  ...
)

Arguments

fit	an object of class flexsurvreg.
data	the data used to fit survival curves.
fun	the type of survival curves. Allowed values include "survival" (default) and "cumhaz" (for cumulative hazard).
summary.flexsurv	(optional) the summary of the flexsurvreg object as generated by the function summary().
size	line size for the flexible survival estimates.
conf.int, conf.int.flex	logical. If TRUE, add confidence bands for flexible survival estimates.
conf.int.km	same as conf.in.flex but for the kaplan-meier estimates.
legend.labs	character vector specifying legend labels. Used to replace the names of the strata from the fit. Should be given in the same order as those strata.
...	additional arguments passed to the function ggsurvplot().

Value

a ggsurvplot

Author(s)

Alboukadel Kassambara, [e-mail]

Examples

if(require("flexsurv")) {
fit <- flexsurvreg(Surv(rectime, censrec) ~ group,
                   dist = "gengamma", data = bc)
ggflexsurvplot(fit)
}

survminer documentation built on Oct. 30, 2024, 5:06 p.m.