mbgcnbd.PlotTrackingCum: (M)BG/CNBD-k Tracking Cumulative Transactions Plot

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

Description

Plots the actual and expected cumulative total repeat transactions by all customers for the calibration and holdout periods, and returns this comparison in a matrix.

Usage

mbgcnbd.PlotTrackingCum(
  params,
  T.cal,
  T.tot,
  actual.cu.tracking.data,
  xlab = "Week",
  ylab = "Cumulative Transactions",
  xticklab = NULL,
  title = "Tracking Cumulative Transactions",
  ymax = NULL,
  legend = c("Actual", "Model")
)

bgcnbd.PlotTrackingCum(
  params,
  T.cal,
  T.tot,
  actual.cu.tracking.data,
  xlab = "Week",
  ylab = "Cumulative Transactions",
  xticklab = NULL,
  title = "Tracking Cumulative Transactions",
  ymax = NULL,
  legend = c("Actual", "Model")
)

Arguments

params	A vector with model parameters k, r, alpha, a and b, in that order.
T.cal	A vector to represent customers' calibration period lengths.
T.tot	End of holdout period. Must be a single value, not a vector.
actual.cu.tracking.data	A vector containing the cumulative number of repeat transactions made by customers for each period in the total time period (both calibration and holdout periods).
xlab	Descriptive label for the x axis.
ylab	Descriptive label for the y axis.
xticklab	A vector containing a label for each tick mark on the x axis.
title	Title placed on the top-center of the plot.
ymax	Upper boundary for y axis.
legend	plot legend, defaults to 'Actual' and 'Model'.

Details

Note: Computational time increases with the number of unique values of T.cal.

Value

Matrix containing actual and expected cumulative repeat transactions.

See Also

mbgcnbd.ExpectedCumulativeTransactions

Examples

## Not run: 
data("groceryElog")
groceryElog <- groceryElog[groceryElog$date < "2006-06-30", ]
cbs <- elog2cbs(groceryElog, T.cal = "2006-04-30")
cum <- elog2cum(groceryElog)
params <- mbgcnbd.EstimateParameters(cbs, k = 2)
mbgcnbd.PlotTrackingCum(params, cbs$T.cal,
  T.tot = max(cbs$T.cal + cbs$T.star), cum)

## End(Not run)

Example output

             [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]
actual   1.000000 16.00000 49.00000 116.0000 180.0000 267.0000 379.0000
expected 3.171686 20.46487 56.24811 110.1114 183.4823 274.9019 382.7925
             [,8]     [,9]    [,10]    [,11]    [,12]    [,13]    [,14]
actual   493.0000 631.0000 772.0000 931.0000 1105.000 1305.000 1478.000
expected 506.5259 644.6476 796.6312 961.7158 1139.415 1328.743 1519.532
            [,15]    [,16]    [,17]    [,18]    [,19]    [,20]    [,21]
actual   1667.000 1800.000 1980.000 2137.000 2283.000 2410.000 2548.000
expected 1706.071 1887.494 2063.866 2235.474 2402.654 2565.729 2724.999
            [,22]    [,23]    [,24]   [,25]
actual   2687.000 2790.000 2931.000 3038.00
expected 2880.735 3033.181 3182.554 3329.05

BTYDplus documentation built on Jan. 21, 2021, 5:10 p.m.