predict.cpf: Conditional Probability Estimates at chosen timepoints

In Cprob: The Conditional Probability Function of a Competing Event

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

Author(s)

Arthur Allgnol, [e-mail]

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))

Example output

Loading required package: prodlim
  time        cp         var      lower     upper n.risk group
1   10 0.2100000 0.001699302 0.12920521 0.2907948     80     0
2   20 0.4291771 0.002922341 0.32322405 0.5351302     42     0
3   10 0.1538462 0.002076218 0.06453935 0.2431530     56     1
4   20 0.5312500 0.007781980 0.35835074 0.7041493     14     1

Cprob documentation built on May 2, 2019, 9:31 a.m.