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.


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install.packages("BTYDplus")

1.0.1 by Michael Platzer, 7 months ago


https://github.com/mplatzer/BTYDplus#readme


Report a bug at https://github.com/mplatzer/BTYDplus/issues


Browse source code at https://github.com/cran/BTYDplus


Authors: Michael Platzer [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, BTYD, coda, data.table, mvtnorm, bayesm, stats, graphics

Suggests testthat, gsl, covr, knitr, rmarkdown, lintr

Linking to Rcpp


See at CRAN