confint.coxtp {surtvep} | R Documentation |
get confidence intervals of time-varying coefficients from a fitted object
Description
Get confidence intervals of time-varying coefficients from a fitted coxtv
or coxtp
object.
Usage
## S3 method for class 'coxtp'
confint(object, parm, level = 0.95, time, ...)
## S3 method for class 'coxtv'
confint(object, parm, level = 0.95, time, ...)
Arguments
object |
fitted |
parm |
the names of parameters. |
level |
the confidence level. The default value is 0.95. |
time |
the time points for which the confidence intervals to be estimated. The default value is the unique observed event times in the dataset fitting the time-varying effects model. |
... |
other parameters to function |
Value
A list where each element corresponds to one of the parameters specified in parm
. Each element in the
list is a matrix, with rows corresponding to the specified time
points and three columns representing the
estimated values of the parameter, and the lower and upper bounds of the confidence interval at the specified
confidence level
. The length of the list is determined by the number of parameters in parm
, and each matrix
has rows equal to the number of specified time
points.
A list where each element corresponds to one of the parameters specified in parm
. Each element in the
list is a matrix, with rows corresponding to the specified time
points and three columns representing the
estimated values of the parameter, and the lower and upper bounds of the confidence interval at the specified
confidence level
. The length of the list is determined by the number of parameters in parm
, and each matrix
has rows equal to the number of specified time
points.
Examples
data(ExampleData)
z <- ExampleData$z
time <- ExampleData$time
event <- ExampleData$event
fit <- coxtp(event = event, z = z, time = time)
IC <- IC(fit)
confint(IC$model.mAIC)
data(ExampleData)
z <- ExampleData$z
time <- ExampleData$time
event <- ExampleData$event
fit <- coxtv(event = event, z = z, time = time)
confint <- confint(fit)