mbgcnbd.PlotFrequencyInCalibration: (M)BG/CNBD-k Plot Frequency in Calibration Period

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

(M)BG/CNBD-k Plot Frequency in Calibration Period

Description

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.

Usage

mbgcnbd.PlotFrequencyInCalibration(
  params,
  cal.cbs,
  censor = 7,
  xlab = "Calibration period transactions",
  ylab = "Customers",
  title = "Frequency of Repeat Transactions"
)

bgcnbd.PlotFrequencyInCalibration(
  params,
  cal.cbs,
  censor = 7,
  xlab = "Calibration period transactions",
  ylab = "Customers",
  title = "Frequency of Repeat Transactions"
)

Arguments

params	A vector with model parameters k, r, alpha, a and b, in that order.
cal.cbs	Calibration period CBS (customer by sufficient statistic). It must contain columns for frequency ('x') and total time observed ('T.cal').
censor	Cutoff point for number of transactions in plot.
xlab	Descriptive label for the x axis.
ylab	Descriptive label for the y axis.
title	Title placed on the top-center of the plot.

Value

Calibration period repeat transaction frequency comparison matrix (actual vs. expected).

References

(M)BG/CNBD-k: Reutterer, T., Platzer, M., & Schroeder, N. (2020). Leveraging purchase regularity for predicting customer behavior the easy way. International Journal of Research in Marketing. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.ijresmar.2020.09.002")}

Examples

## Not run: 
data("groceryElog")
cbs <- elog2cbs(groceryElog)
params <- mbgcnbd.EstimateParameters(cbs)
mbgcnbd.PlotFrequencyInCalibration(params, cbs)

## End(Not run)

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