pnbd.PlotDropoutRateHeterogeneity: Pareto/NBD Plot Dropout Rate Heterogeneity

In retina-dot-ai/BTYD: Implementing Buy 'Til You Die Models

Description

Plots and returns the estimated gamma distribution of mu (customers' propensities to drop out).

Usage

pnbd.PlotDropoutRateHeterogeneity(params, lim = NULL)

Arguments

params	Pareto/NBD parameters - a vector with r, alpha, s, and beta, in that order. r and alpha are unobserved parameters for the NBD transaction process. s and beta are unobserved parameters for the Pareto (exponential gamma) dropout process.
lim	upper-bound of the x-axis. A number is chosen by the function if none is provided.

Details

This returns the distribution of each customer's exponential parameter that determines their lifetime (using the Pareto/NBD assumption that a customer's lifetime can be modeled with an exponential distribution).

Value

Distribution of customers' propensities to drop out.

Examples

params <- c(0.55, 10.56, 0.61, 11.64)
pnbd.PlotDropoutRateHeterogeneity(params)
params <- c(0.55, 10.56, 3, 11.64)
pnbd.PlotDropoutRateHeterogeneity(params)

retina-dot-ai/BTYD documentation built on May 22, 2019, 12:17 p.m.