R: Ggplots of Fitted Flexible Survival Models

ggflexsurvplot {survminer} | R Documentation

## 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, alboukadel.kassambara@gmail.com

### Examples

    if(!require("flexsurv")) install.packages("flexsurv")
    require("flexsurv")
    fit <- flexsurvreg(Surv(rectime, censrec) ~ group,
                       dist = "gengamma", data = bc)
    ggflexsurvplot(fit)

[Package survminer version 0.4.1 Index]