Description Usage Arguments Details Value Examples
Plots a histogram and returns a matrix comparing the actual and expected number of customers who made a certain number of repeat transactions in the calibration period, binned according to calibration period frequencies.
1 2 3 4 5 6 7 8 9 | bgnbd.PlotFrequencyInCalibration(
params,
cal.cbs,
censor,
plotZero = TRUE,
xlab = "Calibration period transactions",
ylab = "Customers",
title = "Frequency of Repeat Transactions"
)
|
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. |
cal.cbs |
calibration period CBS (customer by sufficient statistic). It must contain columns for frequency ("x") and total time observed ("T.cal"). |
censor |
integer used to censor the data. See details. |
plotZero |
If FALSE, the histogram will exclude the zero bin. |
xlab |
descriptive label for the x axis. |
ylab |
descriptive label for the y axis. |
title |
title placed on the top-center of the plot. |
This function requires a censor number, which cannot be higher than the highest frequency in the calibration period CBS. The output matrix will have (censor + 1) bins, starting at frequencies of 0 transactions and ending at a bin representing calibration period frequencies at or greater than the censor number. The plot may or may not include a bin for zero frequencies, depending on the plotZero parameter.
Calibration period repeat transaction frequency comparison matrix (actual vs. expected).
1 2 3 4 5 6 7 8 9 10 11 | data(cdnowSummary)
cal.cbs <- cdnowSummary$cbs
# cal.cbs already has column names required by method
# parameters estimated using bgnbd.EstimateParameters
est.params <- c(0.243, 4.414, 0.793, 2.426)
# the maximum censor number that can be used
max(cal.cbs[,"x"])
bgnbd.PlotFrequencyInCalibration(est.params, cal.cbs, censor=7)
|
Loading required package: hypergeo
[1] 29
freq.0 freq.1 freq.2 freq.3 freq.4 freq.5 freq.6
n.x.actual 1411.0 439.0000 214.0000 100.0000 62.00000 38.00000 29.00000
n.x.expected 1406.5 460.8076 192.7094 101.3067 59.93608 38.17857 25.58969
freq.7+
n.x.actual 64.00000
n.x.expected 71.34782
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