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This package is very useful, however the competing risks regression class (crr {cmprsk}) is not applicable unfortunately. Any chance this will get supported in the future?
The text was updated successfully, but these errors were encountered:
dear @jlabordenavas, unfortunately I currently do not have the time to implement this feature. However, I am more than happy to support you in implementing it. Essentially, all you need is a results table derived from the model summary. See https://github.com/hofnerb/papeR/blob/master/R/prettify.R for examples.
Actually, it should be pretty straight forward. One can extract all relevant details as follows:
### load package and fit some model
library("cmprsk")
# simulated data to test
set.seed(10)
ftime<- rexp(200)
fstatus<- sample(0:2,200,replace=TRUE)
cov<-matrix(runif(600),nrow=200)
dimnames(cov)[[2]] <- c('x1','x2','x3')
print(z<- crr(ftime,fstatus,cov))
x<- summary(z)
### this should be all what is neededx$coefx$conf.int
This package is very useful, however the competing risks regression class (crr {cmprsk}) is not applicable unfortunately. Any chance this will get supported in the future?
The text was updated successfully, but these errors were encountered: