Calculate bootstrap confidence bands for effect of interest

Usage

add.ci(object, alpha)

Arguments

object: object of class "effect"
alpha: the confidence level

Value

object of class "effect" with updated confidence interval corresponding to alpha

Examples

library(dpasurv)

data(simdata)

# Perform dynamic path analysis:
# We set boot.n=30 for the example to run fast, should be set large enough
# so that results don't change meaningfully for different seeds.
s <- dpa(Surv(start,stop,event)~M+x, list(M~x), id="subject", data=simdata, boot.n=30)

# Calculate cumulative direct effect (which calculates a CI with alpha = 0.05 by default):
direct <- effect(x ~ outcome, s)

# update confidence interval for a new alpha (this overwrites the 0.05 CI already calculated above)
direct <- add.ci(direct, alpha=0.10)