Description Usage Arguments Value References Examples

`BG`

is a beta geometric model implemented based on `Fader and Hardie`

probability based projection methedology. The survivor function for `BG`

is

*Beta(a,b+t)/Beta(a,b)*

1 |

`surv_value` |
a numeric vector of historical customer retention percentage should start at 100 and non-starting values should be between 0 and less than 100 |

`h` |
forecasting horizon |

`lower` |
lower limit used in |

`fitted:` |
Fitted values based on historical data |

`projected:` |
Projected |

`max.likelihood:` |
Maximum Likelihood of Beta Geometric |

`params - a, b:` |
Returns a and b paramters from maximum likelihood estimation for beta distribution |

Fader P, Hardie B. How to project customer retention. Journal of Interactive Marketing. 2007;21(1):76-90.

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