Calculate the log-likelihood of the MBG/NBD model
mbgnbd.cbs.LL(params, cal.cbs)MBG/NBD parameters - a vector with r, alpha, a
and b in that order.
calibration period CBS. It must contain columns for frequency
x, for recency t.x, for sum of logarithmic interpurchase times litt
and total time observed T.cal. Optionally a column custs can be
provided, which represents number of customers with a specific combination
of frequency x and T.cal.
the total log-likelihood for the provided data.
Batislam, E.P., M. Denizel, A. Filiztekin. 2007. Empirical validation and comparison of models for customer base analysis. International Journal of Research in Marketing 24(3) 201-209. - Hoppe, Daniel, and Udo Wagner. 'Customer base analysis: The case for a central variant of the Betageometric/NBD Model.' Marketing Journal of Research and Management 3.2 (2007): 75-90.