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 [Ehrenberg (1959) <doi:10.2307/2985810>], MBG/NBD [Batislam et al (2007) <doi:10.1016/j.ijresmar.2006.12.005>], (M)BG/CNBD-k [Reutterer et al (2020) <doi:10.1016/j.ijresmar.2020.09.002>], Pareto/NBD (HB) [Abe (2009) <doi:10.1287/mksc.1090.0502>] and Pareto/GGG [Platzer and Reutterer (2016) <doi:10.1287/mksc.2015.0963>].

Version: 1.2.0
Depends: R (≥ 3.2.0)
Imports: Rcpp, BTYD (≥ 2.3), coda, data.table, mvtnorm, bayesm, stats, graphics
LinkingTo: Rcpp
Suggests: testthat, covr, knitr, rmarkdown, gsl, lintr (≥ 1.0.0)
Published: 2021-01-21
DOI: 10.32614/CRAN.package.BTYDplus
Author: Michael Platzer [aut, cre]
Maintainer: Michael Platzer <michael.platzer at>
License: GPL-3
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: BTYDplus results


Reference manual: BTYDplus.pdf
Vignettes: Customer Base Analysis with BTYDplus


Package source: BTYDplus_1.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BTYDplus_1.2.0.tgz, r-oldrel (arm64): BTYDplus_1.2.0.tgz, r-release (x86_64): BTYDplus_1.2.0.tgz, r-oldrel (x86_64): BTYDplus_1.2.0.tgz
Old sources: BTYDplus archive


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