Ggplots of Fitted Flexible Survival Models — ggflexsurvplot • survminer

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

Alboukadel Kassambara, alboukadel.kassambara@gmail.com

Examples

# \donttest{
if(require("flexsurv")) {
fit <- flexsurvreg(Surv(rectime, censrec) ~ group,
                   dist = "gengamma", data = bc)
ggflexsurvplot(fit)
}
#> Loading required package: flexsurv

# }