nbd.EstimateParameters: Parameter Estimation for the NBD model

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

Description

Estimates parameters for the NBD model via Maximum Likelihood Estimation.

Usage

nbd.EstimateParameters(cal.cbs, par.start = c(1, 1), max.param.value = 10000)

Arguments

cal.cbs	Calibration period CBS. It must contain columns for frequency x and total time observed T.cal.
par.start	Initial NBD parameters - a vector with r and alpha in that order.
max.param.value	Upper bound on parameters.

Value

List of estimated parameters.

References

Ehrenberg, A. S. (1959). The pattern of consumer purchases. Journal of the Royal Statistical Society: Series C (Applied Statistics), 8(1), 26-41. doi: 10.2307/2985810

Examples

data("groceryElog")
cbs <- elog2cbs(groceryElog)
nbd.EstimateParameters(cbs)

Example output

       r    alpha 
0.350372 5.821382 

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