BTYDplus (version 1.2.0)

pggg.plotRegularityRateHeterogeneity: Pareto/GGG Plot Regularity Rate Heterogeneity

Description

Plots and returns the estimated gamma distribution of k (customers' regularity in interpurchase times).

Usage

pggg.plotRegularityRateHeterogeneity(
  draws,
  xmax = NULL,
  fn = NULL,
  title = "Distribution of Regularity Rate k"
)

Arguments

draws

MCMC draws as returned by pggg.mcmc.DrawParameters.

xmax

Upper bound for x-scale.

fn

Optional function to summarize individual-level draws for k, e.g. 'mean'.

title

Plot title.

References

Platzer, M., & Reutterer, T. (2016). Ticking away the moments: Timing regularity helps to better predict customer activity. Marketing Science, 35(5), 779-799. 10.1287/mksc.2015.0963

Examples

# NOT RUN {
data("groceryElog")
cbs <- elog2cbs(groceryElog, T.cal = "2006-12-31")
param.draws <- pggg.mcmc.DrawParameters(cbs,
  mcmc = 20, burnin = 10, thin = 2, chains = 1) # short MCMC to run demo fast
pggg.plotRegularityRateHeterogeneity(param.draws)
# }