Cprob (version 1.2.2)

predict.cpf: Conditional Probability Estimates at chosen timepoints

Description

This function displays estimates of the conditional probability function at timepoints chosen by the user

Usage

## S3 method for class 'cpf':
predict(object, timepoints, ...)

Arguments

object

An object of class cpf

timepoints

Vector of timepoints

...

Not used

Value

• A data.frame with the following columns
• time
  The given timepoints
• cp
  Conditional probability estimates
• var
  Variance estimates
• lower
  Lower confidence limit
• upper
  Upper confidence limit
• n.risk
  Number of individuals at risk just before the timepoints
• group
  Group, if any

See Also

cpf

Examples

data(mgus)
mgus$A <- ifelse(mgus$age < 64, 0, 1)

test <- cpf(Hist(time, ev)~A, data = mgus)

predict(test, c(10, 20))