conditional_after interpretation

[shj997]

Please explain in laymen's terms and provide an example regarding the documentation that states the conditional_after argument scales the original survival function by the survival function at time s?

Does this mean it moves survival function over to time s but the starting survival probability begins where the last survival probability ended at the point of censorship?

Also, how does predict_expectation work on censored individuals? I often find the predict_survival_function returning repeating values after initial decay but then the predict_expectation will return some period in the middle where the repeating values occur. An example is 1: 0.8, 2: 0.77, 3: 0.77, 4: 0.77, 5: 0.77 (Period: predicted survival probability). The predict_expectation may return 4.7. Why not period 2 when the repeating begins?