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BTYDplus
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]
[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. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.1 (2016-12-14 17:23)
Other packages that cited BTYDplus R package
View BTYDplus citation profile
Other R packages that BTYDplus depends,
imports, suggests or enhances
Complete documentation for BTYDplus
Functions, R codes and Examples using
the BTYDplus R package
Some associated functions: abe.GenerateData . abe.mcmc.DrawParameters . dc.PlotFreqVsConditionalExpectedFrequency . dc.PlotRecVsConditionalExpectedFrequency . dc.PlotTracking . dc.check.model.params.safe . elog2cbs . elog2cum . estimateRegularity . groceryElog . mbgcnbd.ConditionalExpectedTransactions . mbgcnbd.EstimateParameters . mbgcnbd.Expectation . mbgcnbd.ExpectedCumulativeTransactions . mbgcnbd.GenerateData . mbgcnbd.PAlive . mbgcnbd.PlotFreqVsConditionalExpectedFrequency . mbgcnbd.PlotFrequencyInCalibration . mbgcnbd.PlotRecVsConditionalExpectedFrequency . mbgcnbd.PlotTrackingCum . mbgcnbd.PlotTrackingInc . mbgcnbd.cbs.LL . mbgcnbd.pmf . mcmc.DrawFutureTransactions . mcmc.Expectation . mcmc.ExpectedCumulativeTransactions . mcmc.PActive . mcmc.PAlive . mcmc.PlotFrequencyInCalibration . mcmc.PlotTrackingCum . mcmc.PlotTrackingInc . mcmc.plotPActiveDiagnostic . mcmc.pmf . mcmc.setBurnin . nbd.ConditionalExpectedTransactions . nbd.EstimateParameters . nbd.GenerateData . nbd.LL . nbd.cbs.LL . pggg.GenerateData . pggg.mcmc.DrawParameters . pggg.plotRegularityRateHeterogeneity . plotTimingPatterns . pnbd.GenerateData . pnbd.mcmc.DrawParameters .
Some associated R codes: RcppExports.R . data.R . helpers.R . mbg-cnbd-k.R . mcmc.R . nbd.R . pareto-ggg-mcmc.R . pareto-nbd-abe.R . pareto-nbd-mcmc.R . zzz.R . Full BTYDplus package functions and examples
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