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BTYDplus  

Probabilistic Models for Assessing and Predicting your Customer Base
View on CRAN: Click here


Download and install BTYDplus package within the R console
Install from CRAN:
install.packages("BTYDplus")

Install from Github:
library("remotes")
install_github("cran/BTYDplus")

Install by package version:
library("remotes")
install_version("BTYDplus", "1.2.0")



Attach the package and use:
library("BTYDplus")
Maintained by
Michael Platzer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-14
Latest Update: 2021-01-21
Description:
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) ], MBG/NBD [Batislam et al (2007) ], (M)BG/CNBD-k [Reutterer et al (2020) ], Pareto/NBD (HB) [Abe (2009) ] and Pareto/GGG [Platzer and Reutterer (2016) ].
How to cite:
Michael Platzer (2016). BTYDplus: Probabilistic Models for Assessing and Predicting your Customer Base. R package version 1.2.0, https://cran.r-project.org/web/packages/BTYDplus
Previous versions and publish date:
1.0.1 (2016-12-14 17:23)
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