plot.multivPenal | R Documentation |
Plots of estimated baseline survival and hazard functions of a multivariate frailty model (output from an object of class 'multivPenal' for multivariate frailty models ) for each type of event (recurrent, terminal and second recurrent). Confidence intervals are allowed.
## S3 method for class 'multivPenal'
plot(x, event = "Both", type.plot = "Hazard",
conf.bands = FALSE, pos.legend = "topright", cex.legend = 0.7, ylim, main,
color1="red", color2="blue", colorEnd="green", median=TRUE, Xlab = "Time",
Ylab = "Hazard function", ...)
x |
A joint multivariate model, i.e. an object of class
|
event |
a character string specifying the type of outcome. 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 intervals 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 |
color1 |
curve color for recurrent event of type 1 (integer or color name in quotation marks) |
color2 |
curve color for recurrent event of type 2 (integer or color name in quotation marks) |
colorEnd |
curve color for terminal event (integer or color name in quotation marks) |
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 |
Print a plot of the baseline survival or hazard functions for each type of event or both with the confidence intervals or not (conf.bands argument)
multivPenal
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