frailtypack (version 2.4.1)

plot.multivePenal: Plot Method for a multivariate frailty model.

Description

Plots estimated baseline survival and hazard functions of a multivariate frailty model (output from an object of class 'multivePenal' for multivariate frailty models ) for each type of event (recurrent, terminal and second recurrent). Confidence bands are allowed.

Usage

## S3 method for class 'multivePenal':
plot(x, event = "both", type.plot = "hazard", conf.bands = FALSE,
                            pos.legend = "topright", cex.legend = 0.7, ylim, main, ...)

Arguments

x

A joint model, or more generaly an object of class frailyPenal for Joint frailty model (output from calling frailtyPenal function).

event

a character string specifying the type of curve. Possible value are "terminal", "recurrent", "recurrent2", or "both". The default is "both".

type.plot

a character string specifying the type of curve. Possible value are "hazard", or "survival". The default is "hazard". Only the first words 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

ylim

y-axis limits

main

plot title

...

Other graphical parameters

Value

• Print a plot of the baseline survival or hazard functions for each type of event or both with the confidence bands or not (conf.bands argument)

See Also

multivePenal

Examples

data(dataMultiv)

## Calendar-time ##

data(dataMultiv)
dataMultiv$timegap<-dataMultiv$t1-dataMultiv$t0

MultivSpli <- multivePenal(Surv(timegap,deltaEvent1)~cluster(id)+var1+var2+terminal(deltadc)+event2(deltaEvent2),
formula.terminalEvent=~var1,formula2=~var1+var2+var3,data=dataMultiv,Frailty=TRUE,recurrentAG=F,
cross.validation=T,n.knots=c(4,4,4),kappa=c(1,1,1),hazard="Splines",initialize=T)

## plot
plot(MultivSpli,type.plot="haz",event="recurrent",conf.bands=TRUE)