BTYDplus (1.0.1)

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Probabilistic Models for Assessing and Predicting your Customer Base.

https://github.com/mplatzer/BTYDplus#readme
http://cran.r-project.org/web/packages/BTYDplus

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.

Maintainer: Michael Platzer
Author(s): Michael Platzer [aut, cre]

License: GPL-3

Uses: bayesm, BTYD, coda, data.table, mvtnorm, Rcpp, gsl, testthat, knitr, rmarkdown, lintr, covr

Released 5 months ago.


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