plot.frailtyPenal {frailtypack}

Plot Method for a Shared frailty model.

Description

Plots estimated baseline survival and hazard functions from an object of class 'frailtyPenal'. Confidence bands are allowed.

Usage

## S3 method for class 'frailtyPenal'
plot(x, type.plot = "Hazard", conf.bands=TRUE,
pos.legend = "topright", cex.legend=0.7, main, color=2, median=TRUE, Xlab = "Time", Ylab
= "Hazard function", ...)

Arguments

x

A shared frailty model, i.e. a frailtyPenal class object (output from calling frailtyPenal function).

type.plot

a character string specifying the type of curve. Possible value are "Hazard", or "Survival". The default is "Hazard". Only the first letters are required, e.g "Haz", "Su"

conf.bands

Logical value. Determines whether confidence bands will be plotted. The default is to do so.

pos.legend

The location of the legend can be specified by setting this argument to a single keyword from the list '"bottomright"', '"bottom"', '"bottomleft"', '"left"', '"topleft"', '"top"', '"topright"', '"right"' and '"center"'. The default is '"topright"'

cex.legend

character expansion factor *relative* to current 'par("cex")'. Default is 0.7

main

title of plot

color

color of the curve (integer)

median

Logical value. Determines whether survival median will be plotted. Default is TRUE.

Xlab

Label of x-axis. Default is '"Time"'

Ylab

Label of y-axis. Default is '"Hazard function"'

...

other unused arguments

Value

Print a plot of a shared frailty model.

See Also

frailtyPenal

Examples

## Not run: 

data(readmission)

###--- Shared frailty model ---###

modSha <- frailtyPenal(Surv(time,event)~as.factor(dukes)+cluster(id),
n.knots=10,kappa=10000,data=readmission,hazard="Splines")

plot(modSha,type="Survival",conf=FALSE)

###--- Cox proportional hazard model ---###

modCox <- frailtyPenal(Surv(time,event)~as.factor(dukes),n.knots=10,
kappa=10000,data=readmission,hazard="Splines")

plot(modCox)

#-- no confidence bands
plot(modSha,conf.bands=FALSE)
plot(modCox,conf.bands=FALSE)


## End(Not run)