blendsurv: Blended survival object

In blendR: Blended Survival Curves

Blended survival object

Description

This is the main function in the blendR package. Two survival curves are supplied and blended according to the blending distribution characterised by the blending interval and the beta distribution parameters.

Usage

blendsurv(
  obs_Surv,
  ext_Surv,
  blend_interv,
  beta_params = list(alpha = 3, beta = 3),
  times = NULL,
  nsim = 100
)

Arguments

obs_Surv, ext_Surv	Observed and external data survival curves. These can come from survHE, INLA or flexsurv fits.
blend_interv	Maximum and minimum values for the blending interval.
beta_params	coefficients of a beta distribution
times	A vector of times for which the survival curves are to be computed; optional
nsim	The number of simulations from the distribution of the survival curves; default 100

Value

List of S for observed, external and blended curves.

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.