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18 bgbb.PlotFrequencyInCalibration<br />

Usage<br />

bgbb.PlotFrequencyInCalibration(params, rf.matrix, censor = NULL,<br />

plotZero = TRUE, xlab = "Calibration period transactions",<br />

ylab = "Customers", title = "Frequency of Repeat Transactions")<br />

Arguments<br />

params<br />

rf.matrix<br />

censor<br />

plotZero<br />

xlab<br />

ylab<br />

title<br />

BG/BB parameters - a vector with alpha, beta, gamma, and delta, in that order.<br />

Alpha and beta are unobserved parameters for the beta-Bernoulli transaction<br />

process. Gamma and delta are unobserved parameters for the beta-geometric<br />

dropout process.<br />

recency-frequency matrix. It must contain columns for frequency ("x"), recency<br />

("t.x"), number of transaction opportunities in the calibration period ("n.cal"),<br />

and the number of customers with this combination of recency, frequency and<br />

transaction opportunities in the calibration period ("custs"). Note that recency<br />

must be the time between the start of the calibration period and the customer’s<br />

last transaction, not the time between the customer’s last transaction and the end<br />

of the calibration period.<br />

optional. Any calibration period frequency at this number, or above it, will be<br />

binned together. If the censor number is greater than the maximum recency in<br />

the recency-frequency matrix, the maximum recency will be used as the censor<br />

number.<br />

If FALSE, the histogram will exclude the zero bin.<br />

descriptive label for the x axis.<br />

descriptive label for the y axis.<br />

title placed on the top-center of the plot.<br />

Value<br />

Calibration period repeat transaction frequency comparison matrix, actual vs. expected.<br />

References<br />

Fader, Peter S., Bruce G.S. Hardie, and Jen Shang. “Customer-Base Analysis in a Discrete-Time<br />

Noncontractual Setting.” Marketing Science 29(6), pp. 1086-1108. 2010. INFORMS. http:<br />

//www.brucehardie.com/papers/020/<br />

Examples<br />

data(donationsSummary)<br />

rf.matrix

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