BTYDplus: Probabilistic Models for Assessing and Predicting your Customer Base

Provides advanced statistical methods to describe and predict customers' purchase behavior in a non-contractual setting. It uses historic transaction records to fit a probabilistic model, which then allows to compute quantities of managerial interest on a cohort- as well as on a customer level (Customer Lifetime Value, Customer Equity, P(alive), etc.). This package complements the BTYD package by providing several additional buy-till-you-die models, that have been published in the marketing literature, but whose implementation are complex and non-trivial. These models are: NBD, MBG/NBD, BG/CNBD-k, MBG/CNBD-k, Pareto/NBD (HB), Pareto/NBD (Abe) and Pareto/GGG.

Package details

AuthorMichael Platzer [aut, cre]
MaintainerMichael Platzer <[email protected]>
LicenseGPL-3
Version1.0.1
URL https://github.com/mplatzer/BTYDplus#readme
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BTYDplus")

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BTYDplus documentation built on May 29, 2017, 10:38 p.m.