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BTYDplus

Extension to R package BTYD.

Installation

devtools::install_github("mplatzer/BTYDplus", dependencies=TRUE)
library(BTYDplus)
demo(package="BTYDplus")
demo("cdnow")

BTYD Models

These R source files extend the functionality of the BTYD package by providing functions for parameter estimation and scoring for NBD, G/G/NBD, BG/NBD, CBG/NBD and CBG/CNBD-k models.

NBD (MLE) - Ehrenberg, Asc. "The Pattern of Consumer Purchases." Quantitative techniques in marketing analysis: text and readings (1962): 355.
~~Gamma/Gompertz/NBD (MLE) - Bemmaor, Albert C., and Nicolas Glady. "Modeling Purchasing Behavior with Sudden Death: A Flexible Customer Lifetime Model." Management Science 58.5 (2012): 1012-1021.~~ (ConditionalExpectations are not working)
MBG/NBD (MLE) - Batislam, E.P., M. Denizel, A. Filiztekin. 2007. Empirical validation and comparison of models for customer base analysis. International Journal of Research in Marketing 24(3) 201–209. - Hoppe, Daniel, and Udo Wagner. "Customer base analysis: The case for a central variant of the Betageometric/NBD Model." Marketing Journal of Research and Management 3.2 (2007): 75-90.
BG/CNBD-k (MLE) - Platzer, Michael, and Thomas Reutterer. forthcoming...
MBG/CNBD-k (MLE) - Platzer, Michael, and Thomas Reutterer. forthcoming...
Pareto/NBD (HB) - Ma, Shao-Hui, and Jin-Lan Liu. "The MCMC approach for solving the Pareto/NBD model and possible extensions." Natural Computation, 2007. ICNC 2007. Third International Conference on. Vol. 2. IEEE, 2007. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4344404 - Abe, Makoto. "Counting your customers one by one: A hierarchical Bayes extension to the Pareto/NBD model." Marketing Science 28.3 (2009): 541-553. - Conoor, Sandeep S. Customer-base analysis in noncontractual settings. Diss. NORTHWESTERN UNIVERSITY, 2010.
Pareto/NBD variant (HB) - Abe, Makoto. "Counting your customers one by one: A hierarchical Bayes extension to the Pareto/NBD model." Marketing Science 28.3 (2009): 541-553.
Pareto/GGG (HB) - Platzer, Michael, and Thomas Reutterer. forthcoming...

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Version

Install

install.packages('BTYDplus')

Monthly Downloads

139

Version

0.7.0

License

GPL-3

Issues

Pull Requests

Stars

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Repository

https://github.com/mplatzer/BTYDplus

Maintainer

Michael Platzer

Last Published

January 21st, 2021

Functions in BTYDplus (0.7.0)

BG/CNBD-k P(alive)

Calculate the log-likelihood of the BG/CNBD-k model

Calculate the log-likelihood of the BG/CNBD-k model

abe.GenerateData

Generate artificial data which follows Abe's Pareto/NBD model variant.

bgcnbd.ExpectedCumulativeTransactions

BG/CNBD-k Expected Cumulative Transactions

abe.mcmc.DrawParameters

HB Pareto/NBD variant as described in Abe (2009)

bgcnbd.GenerateData

Simulate data according to BG/CNBD-k model assumptions

bgcnbd.EstimateParameters

Parameter Estimation for the BG/CNBD-k model

bgcnbd.ConditionalExpectedTransactions

BG/CNBD-k Conditional Expected Transactions

bgcnbd.Expectation

BG/CNBD-k Expectation

Calculate the log-likelihood of the Gamma/Gompertz/NBD model

estimateRegularity

Estimate Regularity in Intertransaction Timings

bgcnbd.PlotTrackingCum

BG/CNBD-k Tracking Cumulative Transactions Plot

bgcnbd.PlotFrequencyInCalibration

BG/CNBD-k Plot Frequency in Calibration Period

bgnbd.GenerateData

Simulate data according to BG/NBD model assumptions

Faster implementation of BTYD::dc.ElogToCbsCbt that also returns summary statistic for estimating regularity

ggnbd.EstimateParameters

Parameter Estimation for Gamma/Gompertz/NBD model

ggnbd.ConditionalExpectedTransactions

Gamma/Gompertz/NBD Conditional Expected Transactions

BG/CNBD-k Probability Mass Function

bgcnbd.PlotTrackingInc

BG/CNBD-k Tracking Incremental Transactions Comparison

Calculate the log-likelihood of the Gamma/Gompertz/NBD model

mbgcnbd.Expectation

MBG/CNBD-k Expectation

mbgcnbd.GenerateData

Simulate data according to MBG/CNBD-k model assumptions

mbgcnbd.ConditionalExpectedTransactions

MBG/CNBD-k Conditional Expected Transactions

Calculate the log-likelihood of the MBG/CNBD-k model

Calculate the log-likelihood of the MBG/CNBD-k model

Gamma/Gompertz/NBD P(alive)

ggnbd.GenerateData

Simulate data according to Gamma/Gompertz/NBD model assumptions

mbgcnbd.EstimateParameters

Parameter Estimation for the MBG/CNBD-k model

mbgcnbd.ExpectedCumulativeTransactions

MBG/CNBD-k Expected Cumulative Transactions

MBG/CNBD-k Unconditional Probability Distribution of Transactions

mbgcnbd.PlotFrequencyInCalibration

MBG/CNBD-k Plot Frequency in Calibration Period

MBG/CNBD-k P(alive)

mbgnbd.GenerateData

Simulate data according to MBG/NBD model assumptions

mbgcnbd.PlotTrackingInc

MBG/CNBD-k Tracking Incremental Transactions Comparison

mbgcnbd.PlotTrackingCum

MBG/CNBD-k Tracking Cumulative Transactions Plot

mbgnbd.ConditionalExpectedTransactions

MBG/NBD Conditional Expected Transactions

Calculate the log-likelihood of the MBG/NBD model

Calculate the log-likelihood of the MBG/NBD model

mbgnbd.EstimateParameters

Parameter Estimation for the MBG/NBD model

MBG/NBD P(alive)

nbd.ConditionalExpectedTransactions

NBD Conditional Expected Transactions

Calculates P(active) based on drawn future transactions.

MBG/NBD Unconditional Probability Distribution of Transactions

mcmc.DrawFutureTransactions

Samples number of future transactions based on drawn parameters

Calculate the log-likelihood of the NBD model

(Re-)set burnin of MCMC chains.

nbd.EstimateParameters

Parameter Estimation for the NBD model

Calculates P(alive) based on MCMC draws

mcmc.plotPActiveDiagnostic

Draw diagnostic plot to inspect error in P(active).

nbd.GenerateData

Simulate data according to NBD model assumptions

Calculate the log-likelihood of the NBD model

pggg.GenerateData

Generate artificial data which follows Pareto/GGG model assumptions

pggg.mcmc.plotRegularityRateHeterogeneity

Pareto/GGG Plot Regularity Rate Heterogeneity

pggg.mcmc.DrawParameters

Hierarchical Bayes implementation of Pareto/GGG

pnbd.mcmc.DrawParameters

Hierarchical Bayes variant of Pareto/NBD