Nothing
The goal of ICcforest is to implement the conditional inference forest approach to modeling interval-censored survival data. It also provides functions to tune the parameters and evaluate the model fit.
You can install the released version of ICcforest from CRAN with:
install.packages("ICcforest")
This is a basic example which shows you how to solve a common problem:
## basic example code with miceData
library(ICcforest)
library(survival)
library(icenReg)
#> Loading required package: Rcpp
#> Loading required package: coda
data(miceData)
## For ICcforest to run, Inf should be set to be a large number, for example, 9999999.
idx_inf <- (miceData$u == Inf)
miceData$u[idx_inf] <- 9999999.
## Fit an iterval-censored conditional inference forest
Cforest <- ICcforest(Surv(l, u, type = "interval2") ~ grp, data = miceData)
#> mtry = 1 OOB Brier score = 0.06497173
#> Searching left ...
#> Searching right ...
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.