BTYD (version 2.4.3)

bgbb.HeatmapHoldoutExpectedTrans: BG/BB Heatmap of Holdout Period Expected Transactions

Description

Plots a heatmap based on the conditional expected holdout period frequency for each recency-frequency combination in the calibration period.

Usage

bgbb.HeatmapHoldoutExpectedTrans(
  params,
  n.cal,
  n.star,
  xlab = "Recency",
  ylab = "Frequency",
  xticklab = NULL,
  title = "Heatmap of Conditional Expected Transactions"
)

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.

n.cal

number of transaction opportunities in the calibration period.

n.star

number of transaction opportunities in the holdout period.

xlab

descriptive label for the x axis.

ylab

descriptive label for the y axis.

xticklab

vector containing a label for each tick mark on the x axis.

title

title placed on the top-center of the plot.

Value

A matrix containing the conditional expected transactions in the holdout period for each recency-frequency combination in the calibration period. The rows represent calibration period frequencies, and the columns represent calibration period recencies.

Details

E(X(n, n+n*) | alpha, beta, gamma, delta, x, t.x, n). This function requires the holdout period to immediately follow the calibration period.

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. Web.

See Also

bgbb.ConditionalExpectedTransactions

Examples

# NOT RUN {
data(donationsSummary)

rf.matrix <- donationsSummary$rf.matrix
# donationsSummary$rf.matrix already has appropriate column names

# starting-point parameters
startingparams <- c(1, 1, 0.5, 3)
# estimated parameters
est.params <- bgbb.EstimateParameters(rf.matrix, startingparams)

# Plot a heatmap of conditional expected transactions in
# a holdout period of 5 transaction opportunities, given
# that the calibration period consisted of 6 transaction
# opportunities.
bgbb.HeatmapHoldoutExpectedTrans(est.params, n.cal=6, n.star=5)
# }