mbgcnbd.Expectation {BTYDplus} | R Documentation |
(M)BG/CNBD-k Expectation
Description
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)
.
Usage
mbgcnbd.Expectation(params, t)
bgcnbd.Expectation(params, t)
Arguments
params |
A vector with model parameters |
t |
Length of time for which we are calculating the expected number of repeat transactions. |
Details
Note: Computational time increases with the number of unique values of
t
.
Value
Number of repeat transactions a customer is expected to make in a time period of length t.
References
(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
Examples
## Not run:
data("groceryElog")
cbs <- elog2cbs(groceryElog)
params <- mbgcnbd.EstimateParameters(cbs)
mbgcnbd.Expectation(params, t = c(26, 52))
## End(Not run)
[Package BTYDplus version 1.2.0 Index]