confint.survtmle | R Documentation |
Computes confidence intervals for a fitted survtmle
object.
## S3 method for class 'survtmle'
confint(object, parm = seq_along(object$est), level = 0.95, ...)
object |
An object of class |
parm |
A numeric vector indicating which indexes of |
level |
The confidence level requested. |
... |
Other arguments. Not currently used. |
A matrix with columns giving the lower and upper confidence limits for each parameter. These will be labeled as (1-level) / 2 and 1 - (1-level)/2 in percent. The default is 2.5
# simulate data
set.seed(1234)
n <- 100
ftime <- round(runif(n, 1, 4))
ftype <- round(runif(n, 0, 2))
trt <- rbinom(n, 1, 0.5)
adjustVars <- data.frame(W1 = rnorm(n), W2 = rnorm(n))
# fit a survtmle object
fit <- survtmle(
ftime = ftime, ftype = ftype, trt = trt,
adjustVars = adjustVars, glm.trt = "W1 + W2",
glm.ftime = "trt + W1 + W2", glm.ctime = "trt + W1 + W2",
method = "mean", t0 = 4
)
# get confidence intervals
ci <- confint(fit)
ci
#
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