summary.nestedPenal {frailtypack} | R Documentation |
This function returns hazard rations (HR) and its confidence intervals for each regression coefficient
## S3 method for class 'nestedPenal': summary(object, level = 0.95, len = 6, d = 2, lab="hr", ...)
object |
output from a call to nestedPenal. |
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 regression coefficient. Confidence level is allowed (level argument)
frailtyPenal for Nested frailty models
, plot.nestedPenal
, print.nestedPenal
## Not run: data(dataNested) modNested<-frailtyPenal(Surv(t1,t2,event)~cluster(group)+subcluster(subgroup)+ cov1+cov2,Frailty=TRUE,data=dataNested,n.knots=8,kappa1=50000,kappa2=50000) # It takes 90 minutes to converge (depends on processor) summary(modNested) ## End(Not run)