mbgcnbd.Expectation: (M)BG/CNBD-k Expectation
In BTYDplus: Probabilistic Models for Assessing and Predicting your Customer Base

Description Usage Arguments Details Value References Examples

Returns the number of repeat transactions that a randomly chosen customer (for whom we have no prior information) is expected to make in a given time period, i.e. E(X(t) | k, r, alpha, a, b).

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mbgcnbd.Expectation(params, t)

bgcnbd.Expectation(params, t)

`params`	A vector with model parameters `k`, `r`, `alpha`, `a` and `b`, in that order.
`t`	Length of time for which we are calculating the expected number of repeat transactions.

Note: Computational time increases with the number of unique values of t.

Number of repeat transactions a customer is expected to make in a time period of length t.

(M)BG/CNBD-k: Reutterer, T., Platzer, M., & Schroeder, N. (2020). Leveraging purchase regularity for predicting customer behavior the easy way. International Journal of Research in Marketing. doi: 10.1016/j.ijresmar.2020.09.002

## Not run: 
data("groceryElog")
cbs <- elog2cbs(groceryElog)
params <- mbgcnbd.EstimateParameters(cbs)
mbgcnbd.Expectation(params, t = c(26, 52))

## End(Not run)