mbgcnbd.ExpectedCumulativeTransactions: (M)BG/CNBD-k Expected Cumulative Transactions

In BTYDplus: Probabilistic Models for Assessing and Predicting your Customer Base

Description

Calculates the expected cumulative total repeat transactions by all customers for the calibration and holdout periods.

Usage

mbgcnbd.ExpectedCumulativeTransactions(params, T.cal, T.tot, n.periods.final)

bgcnbd.ExpectedCumulativeTransactions(params, T.cal, T.tot, n.periods.final)

Arguments

params	A vector with model parameters k, r, alpha, a and b, in that order.
T.cal	A vector to represent customers' calibration period lengths.
T.tot	End of holdout period. Must be a single value, not a vector.
n.periods.final	Number of time periods in the calibration and holdout periods.

Details

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

Value

Vector of length n.periods.final with expected cumulative total repeat transactions by all customers.

Examples

## Not run: 
data("groceryElog")
cbs <- elog2cbs(groceryElog)
params <- mbgcnbd.EstimateParameters(cbs, k = 2)
# Returns a vector containing expected cumulative repeat transactions for 104
# weeks, with every eigth week being reported.
mbgcnbd.ExpectedCumulativeTransactions(params,
  T.cal = cbs$T.cal,
  T.tot = 104,
  n.periods.final = 104 / 8)

## End(Not run)

BTYDplus documentation built on Jan. 21, 2021, 5:10 p.m.