nbd.ConditionalExpectedTransactions: NBD Conditional Expected Transactions

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

NBD Conditional Expected Transactions

Description

Uses NBD model parameters and a customer's past transaction behavior to return the number of transactions they are expected to make in a given time period.

Usage

nbd.ConditionalExpectedTransactions(params, T.star, x, T.cal)

Arguments

params	NBD parameters - a vector with r and alpha, in that order.
T.star	Length of time for which we are calculating the expected number of transactions.
x	Number of repeat transactions in the calibration period T.cal, or a vector of calibration period frequencies.
T.cal	Length of calibration period, or a vector of calibration period lengths.

Value

Number of transactions a customer is expected to make in a time period of length t, conditional on their past behavior. If any of the input parameters has a length greater than 1, this will be a vector of expected number of transactions.

Examples

data("groceryElog")
cbs <- elog2cbs(groceryElog, T.cal = "2006-12-31")
params <- nbd.EstimateParameters(cbs)
xstar.est <- nbd.ConditionalExpectedTransactions(params, cbs$T.star, cbs$x, cbs$T.cal)
sum(xstar.est) # expected total number of transactions during holdout

mplatzer/BTYDplus documentation built on April 9, 2024, 3:11 a.m.