goftte (version 1.0.5)

predband.scproc: Prediction bands for 'scproc' object

Description

Calculates the prediction bands under the null hypothesis.

Usage

# S3 method for scproc
predband(x, idx=1:length(x$variable), level=0.95, cval=NULL, ...)

Arguments

x

An object of class scproc.

idx

The index number of covariates whose the prediction band is calculated.

level

The required level for prediction bands.

cval

Parameter used to calculate the symmetric prediction bands defined by the standard error multiplied by cval.

...

additional arguments.

Value

t

Ordered values of the variable used : unique times for proportionality and unique observations of covariates for functional form.

yu

Upper simultaneous confidence limit.

Details

This function is derived from confint.cumres of gof package.

References

Holst KK (2014). gof: Model-diagnostics based on cumulative residuals. R package version 0.9.1, URL https://CRAN.R-project.org/package=gof.

Examples

# NOT RUN {
require(cmprsk)

#Simulating survival data with competing events
set.seed(10)
ftime <- rexp(200)
fstatus <- sample(0:2,200,replace=TRUE)
cov <- matrix(runif(200),nrow=200)

# Fine & Gray regression
fit.crr <- crr(ftime,fstatus,cov)

#Checking the covariates functional form assumption
k<-fcov(model=fit.crr, ftime=ftime,fstatus=fstatus,cov1=cov)

#Prediction bands
predband(k)
# }