I would like to use users' consecutive inactivity time in order to predict probability for not returning.
For example, I would like to be able to say that if a user was inactive for a month, the chance he returns (likelihood would be correct here?) is 40%. A user that was inactive for 2 months, the chance he returns is 5%. OR the opposite where according to the inactivity, the chance they die is xx%.
The data that is available to me is obviously all the uses, and from that I could extract all existing inactivity intervals.
If I understand it correctly it is the opposite of survival analysis where I use time a live as predictor of death probability. But perhaps Survival analysis could be used in some different form?
If in your answer you could add the way to use your suggested model in R it would be great!