summary.shr: Summary of a fitted survival model using a penalized...

In SmoothHazard: Smooth models for interval-censored data with applications to survival and illness-death models

Description

Print a short summary of a fitted illness-death model using the penalized likelihood approach.

Usage

## S3 method for class 'shr'
summary(object, conf.int = 0.95, digits = 4, pvalDigits = 4,
  eps = 0.0001, ...)

Arguments

object	a shr object, i.e., the result of a call to the shr function.
conf.int	The confidence level.
digits	number of digits to print.
pvalDigits	number of digits to print for p-values.
eps	convergence criterion used for p-values.
...	other unusued arguments.

Author(s)

Celia Touraine <[e-mail]>

See Also

shr, print.shr, plot.shr

Examples

## Not run: 
# a penalized survival model
data(testdata)
library(prodlim)
fit.su <- shr(Hist(time=list(l,r),id)~cov,data=testdata,method="Splines")
summary(fit.su)

# Weibull survival model
data(testdata)
fit.su <- shr(Hist(time=list(l,r),id)~cov,data=testdata)
summary(fit.su)

## End(Not run)

SmoothHazard documentation built on May 2, 2019, 4:43 p.m.