print.frailtyPenal {frailtypack} | R Documentation |
Print a Short Summary of parameter estimates of a shared gamma frailty model
Description
Prints a short summary of parameter estimates of a 'frailtyPenal' object
Usage
## S3 method for class 'frailtyPenal':
print(x, digits = max(options()$digits - 4, 3), ...)
Arguments
x |
the result of a call to the frailtyPenal function |
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 |
theta |
variance of frailty parameter |
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.frailtyPenal
,
frailtyPenal for Shared frailty models
,
plot.frailtyPenal
Examples
data(readmission)
# /*** Shared frailty model ***/
modSha<-frailtyPenal(Surv(time,event)~as.factor(dukes)+cluster(id),
n.knots=10,kappa1=10000,data=readmission,Frailty=TRUE)
print(modSha,type="surv",conf=FALSE)
# /*** Cox proportional hazard model using Penalized likelihood ***/
modCox<-frailtyPenal(Surv(time,event)~as.factor(dukes)+cluster(id),
n.knots=10,kappa1=10000,data=readmission,Frailty=FALSE)
print(modCox)
[Package
frailtypack version 2.2-12
Index]