scoring

24 bgbb.PlotTrackingCum
Arguments
params
BG/BB parameters - a vector with alpha, beta, gamma, and delta, in that order.
Alpha and beta are unobserved parameters for the beta-Bernoulli transaction
process. Gamma and delta are unobserved parameters for the beta-geometric
dropout process.
rf.matrix recency-frequency matrix. It must contain columns for the number of transactions
opportunities in the calibration period ("n.cal"), and the number of customers
with this number of transaction opportunities in the calibration period
("custs"). Columns for frequency and recency may be in the matrix, but are not
necessary for this function since it relies on bgbb.Expectation, which only
requires the number of transaction opportunities.
actual.cum.repeat.transactions
vector containing the cumulative number of repeat transactions made by customers
in all transaction opportunities (both calibration and holdout periods).
Its unit of time should be the same as the units of the recency-frequency matrix
used to estimate the model parameters.
xlab
ylab
Details
Value
xticklab
title
descriptive label for the x axis.
descriptive label for the y axis.
vector containing a label for each tick mark on the x axis.
title placed on the top-center of the plot.
The holdout period should immediately follow the calibration period. This function assumes 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(n.cal) - n.cal rather than assuming that it is
0).
Matrix containing actual and expected cumulative repeat transactions.
References
Fader, Peter S., Bruce G.S. Hardie, and Jen Shang. “Customer-Base Analysis in a Discrete-Time
Noncontractual Setting.” Marketing Science 29(6), pp. 1086-1108. 2010. INFORMS. http:
//www.brucehardie.com/papers/020/
Examples
data(donationsSummary)
# donationsSummary$rf.matrix already has appropriate column names
rf.matrix