Learn R Programming

simIDM (version 0.1.0)

survOS: OS Survival Function for Different Transition Models

Description

OS Survival Function for Different Transition Models

Usage

survOS(transition, t)

# S3 method for ExponentialTransition survOS(transition, t)

# S3 method for WeibullTransition survOS(transition, t)

# S3 method for PWCTransition survOS(transition, t)

Value

The value of the survival function for the specified transition and time.

Arguments

transition

(TransitionParameters)
see exponential_transition(), weibull_transition() or piecewise_exponential() for details.

t

(numeric)
time at which the value of the OS survival function is to be computed.

Methods (by class)

  • survOS(ExponentialTransition): Survival Function for an exponential transition model.

  • survOS(WeibullTransition): Survival Function for a Weibull transition model.

  • survOS(PWCTransition): Survival Function for a piecewise constant transition model.

Examples

Run this code
transition <- exponential_transition(h01 = 1.2, h02 = 1.5, h12 = 1.6)
survOS(transition, 0.4)
transition <- exponential_transition(h01 = 1.2, h02 = 1.5, h12 = 1.6)
survOS(transition, 0.4)
transition <- weibull_transition(h01 = 1.2, h02 = 1.5, h12 = 1.6, p01 = 2, p02 = 2.5, p12 = 3)
survOS(transition, 0.4)
transition <- piecewise_exponential(
  h01 = c(1, 1, 1), h02 = c(1.5, 0.5, 1), h12 = c(1, 1, 1),
  pw01 = c(0, 3, 8), pw02 = c(0, 6, 7), pw12 = c(0, 8, 9)
)
survOS(transition, 0.4)

Run the code above in your browser using DataLab