No need to think, DataFlair is here to help you. One of such techniques that allow you to measure the duration of time till the occurrence of a future event is Survival Analysis using R. It is one of the most interesting ways of evaluating future occurrences. This estimator which is plotted over time and is based on a mathematical formula to calculate the response. BIOST 515, Lecture 15 1. time is the follow up time until the event occurs. Finally, to provide an “eyeball comparison” of the three survival curves, I’ll plot them on the same graph.The following code pulls out the survival data from the three model objects and puts them into a data frame for ggplot(). For convenience, I have collected the references used throughout the post here. ranger might be the surprise in my very short list of survival packages. The R package named survival is used to carry out survival analysis. An ROC value of .68 would normally be pretty good for a first try. But ranger() does compute Harrell’s c-index (See [8] p. 370 for the definition), which is similar to the Concordance statistic described above. T∗ i