confint {JSM} | R Documentation |
Obtain Confidence Intervals for Joint Model Parameters
Description
confint
is a generic function which computes confidence intervals for parameters in models fitted by jmodelTM()
or jmodelMult()
.
Usage
## S3 method for class 'jmodelTM'
confint(object, parm, level = 0.95, ...)
## S3 method for class 'jmodelMult'
confint(object, parm, level = 0.95, ...)
Arguments
object |
an object inheriting from class |
parm |
a specification of which parameters are to be given confidence intervals. As currently implemented, always give confidence intervals for all regression coefficients. |
level |
the confidence level required. |
... |
additional arguments required. None is used in this method. |
Value
A list consists of the following components:
infoLong |
a matrix with columns giving parameter estimates as well as their lower and upper confidence limits for the regression parameters of the longitudinal process. |
infoSurv |
a matrix with columns giving parameter estimates as well as their lower and upper confidence limits for the regression parameters of the survival process. |
level |
the confidence level used in computing the confidence limits. |
Author(s)
Cong Xu helenxu1112@gmail.com
Examples
## Not run:
fitLME <- lme(proth ~ Trt * obstime, random = ~ 1 | ID, data = liver)
fitCOX <- coxph(Surv(start, stop, event) ~ Trt, data = liver, x = TRUE)
fitJT.ph <- jmodelTM(fitLME, fitCOX, liver, timeVarY = 'obstime')
# 95% confidence intervals for the joint model parameters
confint(fitJT.ph)
## End(Not run)