Uses BG/CNBD-k model parameters and a customer's past transaction behavior to return the probability that they are still alive at the end of the calibration period.
bgcnbd.PAlive(params, x, t.x, T.cal, dropout_at_zero = FALSE)BG/CNBD-k parameters - a vector with k, r, alpha, a
and b in that order.
number of repeat transactions in the calibration period T.cal, or a vector of calibration period frequencies.
recency, i.e. length between first and last transaction during calibration period.
length of calibration period, or a vector of calibration period lengths.
Boolean; the mbg-methods are simple wrapper methods, which set this parameter to TRUE
Probability that the customer is still alive at the end of the calibration period.
Platzer Michael, and Thomas Reutterer (forthcoming)