surv: Create a Survival Object for INLA

In andrewzm/INLA: Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion

Description

Create a survival object, to be used as a response variable in a model formula for the inla function for survival models.

Usage

inla.surv(time, event, time2, truncation,subject)
## S3 method for class 'inla.surv'
plot(x, y, ...)
## S3 method for class 'inla.surv'
print(x, ...)
is.inla.surv(object)
as.inla.surv(object, ...)

Arguments

time	For right censored data, this is the follow up time. For interval data, this is the starting time for the interval.
event	The status indicator, 1=observed event, 0=right censored event, 2=left censored event, 3=interval censored event. Although unusual, the event indicator can be omitted, in which case all subjects are assumed to have an event.
time2	Ending time for the interval censured data.
truncation	Left truncation. If missing it is assumed to be 0.
subject	Patient number in multiple event data, not needed otherwise.
object	Any R-object
x	Object to plot or print
y	Object to plot (not in use)
...	Additional argument

Value

An object of class inla.surv. There are methods for print, plot for inla.surv objects.

is.inla.surv returns TRUE if object inherits from class inla.surv, otherwise FALSE.

as.inla.surv returns an object of class inla.surv

Author(s)

Sara Martino and Rupali Akerkar

See Also

inla

Examples

  ## First example
  trt = c(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
          0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
          1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1)
  time = c(17,42,44,48,60,72,74,95,103, 108, 122, 144, 167, 170, 183, 185,
           193, 195, 197, 208, 234, 235, 254, 307, 315, 401, 445, 464, 484,  528, 542, 567,
           577, 580, 795, 855, 1174, 1214, 1232, 1366, 1455, 1585, 1622, 1626, 1736, 1,63, 
           105, 125, 182, 216, 250, 262, 301, 301, 342, 354, 356, 358, 380, 383, 383, 388, 
           394, 408, 460, 489, 499, 523, 524, 535, 562, 569, 675, 676, 748, 778, 786, 797,
           955, 968, 977, 1245, 1271, 1420, 1460, 1516, 1551, 1690, 1694)
  event = c(1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
            1,1,1,1,0,1,0,1,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
            1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,0,1)
  y = inla.surv(time, event)

  ## Second example
  time = c(182,182,63,68,182,152,182,130,134,145,152,182,98,152,182,88,95,105,130,137,167,182,
           152,182,81,182,71,84,126,134,152,182)
  event = c(1,0,1,1,0,1,0,1,1,1,1,0,1,1,1,1,1,1,1,1,1,0,1,0,1,0,1,1,1,1,1,0)
  subject = c(1,2,3,3,3,4,4,5,5,5,5,5,6,6,6,7,7,7,7,7,7,7,8,8,9,9,10,10,10,10,10,10)
  y = inla.surv(time, event, subject=subject)

andrewzm/INLA documentation built on May 10, 2019, 11:12 a.m.