CRAN/E | BTYDplus

BTYDplus

Probabilistic Models for Assessing and Predicting your Customer Base

Installation

About

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].

github.com/mplatzer/BTYDplus#readme
Bug report File report

Key Metrics

Version 1.2.0
R ≥ 3.2.0
Published 2021-01-21 1196 days ago
Needs compilation? yes
License GPL-3
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Maintainer

Maintainer

Michael Platzer

michael.platzer@gmail.com

Authors

Michael Platzer

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Customer Base Analysis with BTYDplus

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

BTYDplus archive

Depends

R ≥ 3.2.0

Imports

Rcpp
BTYD ≥ 2.3
coda
data.table
mvtnorm
bayesm
stats
graphics

Suggests

testthat
covr
knitr
rmarkdown
gsl
lintr ≥ 1.0.0

LinkingTo

Rcpp