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.

Documentation

Manual: BTYDplus.pdf
Vignette: Customer Base Analysis with BTYDplus

Maintainer: Michael Platzer <michael.platzer at gmail.com>

Author(s): Michael Platzer*

Install package and any missing dependencies by running this line in your R console:

install.packages("BTYDplus")

Depends R (>= 3.2.0)
Imports Rcpp, BTYD(>=2.3), coda, data.table, mvtnorm, bayesm, stats, graphics
Suggests testthat, gsl, covr, knitr, rmarkdown, lintr(>=1.0.0)
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Package BTYDplus
Materials
URL https://github.com/mplatzer/BTYDplus#readme
Task Views
Version 1.0.1
Published 2016-12-14
License GPL-3
BugReports https://github.com/mplatzer/BTYDplus/issues
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks BTYDplus check results
Package source BTYDplus_1.0.1.tar.gz