plot.blended: Blended survival curve based on short-term data and external...

In blendR: Blended Survival Curves

Blended survival curve based on short-term data and external information

Description

Blended survival curve based on short-term data and external information

Usage

## S3 method for class 'blended'
plot(x, alpha = c(0.1, 0.05), ...)

Arguments

x	A blended survival curve object obtain from blendsurv()
alpha	A vector specifying the opacity of ribbon for the blended curve and other curves
...	Additional arguments

Value

A ggplot2 object

See Also

blendsurv()

Examples

library(survHE)

## trial data
data("TA174_FCR", package = "blendR")

## externally estimated data
data_sim <- ext_surv_sim(t_info = 144,
                         S_info = 0.05,
                         T_max = 180)

obs_Surv <- fit.models(formula = Surv(death_t, death) ~ 1,
                       data = dat_FCR,
                       distr = "exponential",
                       method = "hmc")

ext_Surv <- fit.models(formula = Surv(time, event) ~ 1,
                       data = data_sim,
                       distr = "exponential",
                       method = "hmc")

blend_interv <- list(min = 48, max = 150)
beta_params <- list(alpha = 3, beta = 3)

ble_Surv <- blendsurv(obs_Surv, ext_Surv, blend_interv, beta_params)

plot(ble_Surv)

blendR documentation built on Sept. 9, 2025, 5:51 p.m.