plot.nestedPenal: Plot Method for a Nested frailty model.

In frailtypack: Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints

Plot Method for a Nested frailty model.

Description

Plots estimated baseline survival and hazard functions (output from an object of class 'NestedPenal' for nested frailty models). Confidence bands are allowed.

Usage

## S3 method for class 'nestedPenal'
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 nested model, i.e. an object of class frailtyPenal for Nested frailty models (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 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
main	plot title
color	curve color (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 graphical parameters like those in plot.frailtyPenal

Value

Print a plot of the baseline survival or hazard functions with the confidence bands or not (conf.bands argument)

See Also

frailtyPenal

Examples

## Not run: 

data(dataNested)
modNested <- frailtyPenal(Surv(t1,t2,event)~cluster(group)+
subcluster(subgroup)+cov1+cov2,data=dataNested,n.knots=8,
kappa=50000,hazard="Splines")

plot(modNested,conf.bands=FALSE)


## End(Not run)

frailtypack documentation built on Oct. 20, 2024, 1:08 a.m.