plot.idm {SmoothHazard} | R Documentation |
Plot estimated baseline transition intensities from an object of class
idm
optionally with confidence limits.
## S3 method for class 'idm' plot(x, conf.int = FALSE, citype = "shadow", add = FALSE, axes = TRUE, col, lwd, lty, xlim, ylim, xlab, ylab, legend = TRUE, transition = c("01", "02", "12"), ...)
x |
a |
conf.int |
If TRUE show confidence limits |
citype |
Type of confidence limits, can be "shadow" or "bars" |
add |
If TRUE add to existing plot |
axes |
If TRUE axes are drawn |
col |
Color of the lines |
lwd |
Width of the lines |
lty |
Type of the lines |
xlim |
Limits for x-axis |
ylim |
Limits for y-axis |
xlab |
Label for x-axis |
ylab |
Label for y-axis |
legend |
If TRUE a legend is drawn, which can be further controlled via |
transition |
Choose one of the transition intensities: |
... |
Passed to |
Print a plot of the baseline transition intensities of an illness-death model estimated using a Weibull approach.
library(lava) library(prodlim) m <- idmModel(scale.lifetime=1/10,scale.illtime=1/8) distribution(m,"X") <- binomial.lvm() regression(m,latent.lifetime~X) <- 0.7 set.seed(30) d <- sim(m,100) fit.weib <- idm(formula02=Hist(observed.lifetime,event=seen.exit)~1, formula01=Hist(time=list(L,R),event=seen.ill)~1,data=d,conf.int=FALSE) plot(fit.weib) ## Not run: ## FIXME: the limits for the 01 transition are a bit wide!? ## with bootstrap confidence limits fit.weib <- idm(formula02=Hist(observed.lifetime,event=seen.exit)~1, formula01=Hist(time=list(L,R),event=seen.ill)~1,data=d,conf.int=TRUE) plot(fit.weib) ## End(Not run)