print.nestedPenal {frailtypack} | R Documentation |
Print a Short Summary of parameter estimates of a nested frailty model
Description
Prints a short summary of parameter estimates of a nested frailty model
Usage
## S3 method for class 'nestedPenal':
print(x, digits = max(options()$digits - 4, 3), ...)
Arguments
x |
the result of a call to the frailtyPenal function for nested frailty models |
digits |
number of digits to print |
... |
other unusued arguments |
Value
n |
the number of observations used in the fit. |
n.groups |
the maximum number of groups used in the fit |
n.events |
the number of events observed in the fit |
eta |
variance of the subcluster effect (Var(w_{ij}) |
theta |
variance of the cluster effect (Var(v_{i}) |
coef |
the coefficients of the linear predictor, which
multiply the columns of the model matrix. |
SE(H) |
the standard error of the estimates deduced from the variance matrix of theta and of the coefficients. |
SE(HIH) |
the standard error of the estimates deduced from the robust estimation of the variance matrix of theta and of the coefficients. |
p |
p-value |
See Also
summary.nestedPenal
,
frailtyPenal for Nested frailty models
,
plot.nestedPenal
,
Examples
# /*** Nested frailty model ***/
## 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 around 24 minutes to converge (depends on the processor) #
print(modNested)
## End(Not run)
[Package
frailtypack version 2.2-12
Index]