Calculate the log-likelihood of the BG/CNBD-k model
bgcnbd.LL(params, x, t.x, T.cal, litt, dropout_at_zero = FALSE)BG/CNBD-k parameters - a vector with k, r, alpha, a
and b in that order.
frequency, i.e. number of re-purchases
recency, i.e. time elapsed from first purchase to last purchase
total time of observation period
sum of logarithmic interpurchase times
Boolean; the mbg-methods are simple wrapper methods, which set this parameter to TRUE
a vector of log-likelihoods
Platzer Michael, and Thomas Reutterer (forthcoming)