Description Usage Arguments Details Value See Also Examples
Calculates the expected cumulative total repeat transactions by all customers for the calibration and holdout periods.
1 | bgnbd.ExpectedCumulativeTransactions(params, T.cal, T.tot, n.periods.final)
|
params |
BG/NBD parameters - a vector with r, alpha, a, and b, in that order. r and alpha are unobserved parameters for the NBD transaction process. a and b are unobserved parameters for the Beta geometric dropout process. |
T.cal |
a vector to represent customers' calibration period lengths (in other words, the "T.cal" column from a customer-by-sufficient-statistic matrix). |
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. See details. |
The function automatically divides the total period up into
n.periods.final time intervals. n.periods.final
does not have to
be in the same unit of time as the T.cal
data. For
example:
- if your T.cal
data is in weeks, and you want cumulative
transactions per week, n.periods.final would equal T.star.
- if your T.cal
data is in weeks, and you want cumulative
transactions per day, n.periods.final would equal T.star * 7.
The holdout period should immediately follow the calibration
period. This function assume that all customers' calibration
periods end on the same date, rather than starting on the same
date (thus customers' birth periods are determined using
max(T.cal) - T.cal
rather than assuming that it is 0).
Vector of expected cumulative total repeat transactions by all customers.
1 2 3 4 5 6 7 8 9 10 | data(cdnowSummary)
cal.cbs <- cdnowSummary$cbs
# cal.cbs already has column names required by method
params <- c(0.243, 4.414, 0.793, 2.426)
# Returns a vector containing cumulative repeat transactions for 273 days.
# All parameters are in weeks; the calibration period lasted 39 weeks.
bgnbd.ExpectedCumulativeTransactions(params, T.cal=cal.cbs[,"T.cal"], T.tot=39, n.periods.final=273)
|
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