| summary.jointPenal {frailtypack} | R Documentation |
This function returns hazard rations (HR) and its confidence intervals
## S3 method for class 'jointPenal': summary(object, level = 0.95, len = 6, d = 2, lab="hr", ...)
object |
output from a call to frailtyPenal for joint models |
level |
significance level of confidence interval. Default is 95%. |
d |
the desired number of digits after the decimal point. Default of 6 digits is used. |
len |
the total field width. Default is 6. |
lab |
label of printed results. |
... |
other unusued arguments. |
Prints HR and its confidence intervals for each covariate. Confidence level is allowed (level argument)
frailtyPenal for Joint frailty models,
plot.jointPenal,
print.jointPenal,
## Not run:
data(dataJoint)
modJoint<-frailtyPenal(Surv(time.entry,time.end,status)~cluster(id)+var1+var2
+terminal(status.terminal),
formula.terminalEvent=~var1,
data=dataJoint,n.knots=7,Frailty=TRUE,
kappa1=1, kappa2=1, joint=TRUE, recurrentAG=TRUE)
# It takes around 1 minute to converge
summary(modJoint)
## End(Not run)