Uses BG/CNBD-k model parameters to return the probability distribution of purchase frequencies for a random customer in a given time period, i.e. P(X(t)=x|r,alpha,a,b)
bgcnbd.pmf(params, t, x, dropout_at_zero = FALSE)BG/CNBD-k parameters - a vector with k, r, alpha, a and b
in that order.
length of time for which we are calculating the expected number of transactions.
number of transactions for which probability is calculated.
Boolean; the mbg-methods are simple wrapper methods, which set this parameter to TRUE
P(X(t)=x|r,alpha,a,b). If any of the input parameters has a length greater than 1, this will be a vector of expected number of transactions.
Platzer Michael, and Thomas Reutterer (forthcoming)