BTYDplus (version 0.7.2)

nbd.EstimateParameters: Parameter Estimation for the NBD model

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. Optionally a column custs can be provided, which represents number of customers with a specific combination of frequency x and 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, ASC. 'The Pattern of Consumer Purchases.' Quantitative techniques in marketing analysis: text and readings (1962): 355.

Examples

# NOT RUN {
cbs <- cdnow.sample()$cbs
nbd.EstimateParameters(cbs)
# }