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.

Version: 1.0.1
Depends: R (≥ 3.2.0)
Imports: Rcpp, BTYD (≥ 2.3), coda, data.table, mvtnorm, bayesm, stats, graphics
LinkingTo: Rcpp
Suggests: testthat, gsl, covr, knitr, rmarkdown, lintr (≥ 1.0.0)
Published: 2016-12-14
Author: Michael Platzer [aut, cre]
Maintainer: Michael Platzer <michael.platzer at gmail.com>
BugReports: https://github.com/mplatzer/BTYDplus/issues
License: GPL-3
URL: https://github.com/mplatzer/BTYDplus#readme
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: BTYDplus results

Downloads:

Reference manual: BTYDplus.pdf
Vignettes: Customer Base Analysis with BTYDplus
Package source: BTYDplus_1.0.1.tar.gz
Windows binaries: r-devel: BTYDplus_1.0.1.zip, r-release: BTYDplus_1.0.1.zip, r-oldrel: BTYDplus_1.0.1.zip
OS X Mavericks binaries: r-release: BTYDplus_1.0.1.tgz, r-oldrel: BTYDplus_1.0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BTYDplus to link to this page.