Package: BTYD 2.4.3

BTYD: Implementing BTYD Models with the Log Sum Exp Patch

Functions for data preparation, parameter estimation, scoring, and plotting for the BG/BB (Fader, Hardie, and Shang 2010 <doi:10.1287/mksc.1100.0580>), BG/NBD (Fader, Hardie, and Lee 2005 <doi:10.1287/mksc.1040.0098>) and Pareto/NBD and Gamma/Gamma (Fader, Hardie, and Lee 2005 <doi:10.1509/jmkr.2005.42.4.415>) models.

Authors:Lukasz Dziurzynski [aut], Edward Wadsworth [aut], Peter Fader [ctb], Elea McDonnell Feit [ctb], Daniel McCarthy [aut, ctb], Bruce Hardie [ctb], Arun Gopalakrishnan [ctb], Eric Schwartz [ctb], Yao Zhang [ctb], Gabi Huiber [ctb, cre]

BTYD_2.4.3.tar.gz
BTYD_2.4.3.zip(r-4.7-any)BTYD_2.4.3.zip(r-4.6-any)BTYD_2.4.3.zip(r-4.5-any)
BTYD_2.4.3.tgz(r-4.6-any)BTYD_2.4.3.tgz(r-4.5-any)
BTYD_2.4.3.tar.gz(r-4.7-any)BTYD_2.4.3.tar.gz(r-4.6-any)
BTYD_2.4.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BTYD/json (API)

# Install 'BTYD' in R:

install.packages('BTYD', repos = c('https://ghuiber.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ghuiber/btyd/issues

Datasets:

cdnowElog - CDNOW event log data
cdnowSummary - CDNOW repeat transaction data summary
discreteSimElog - Discrete simulated annual event log data
donationsSummary - Discrete donation data summary

On CRAN:

5.70 score 7 stars 142 scripts 498 downloads 93 exports 26 dependencies

Last updated from:317b09e4ae. Checks:7 ERROR, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	ERROR	232
source / vignettes	OK	244
linux-release-x86_64	ERROR	171
macos-release-arm64	ERROR	157
macos-oldrel-arm64	ERROR	209
windows-devel	ERROR	128
windows-release	ERROR	112
windows-oldrel	ERROR	114
wasm-release	OK	127

Exports:bgbb.ConditionalExpectedTransactions bgbb.DERT bgbb.EstimateParameters bgbb.Expectation bgbb.HeatmapHoldoutExpectedTrans bgbb.LL bgbb.PAlive bgbb.PlotDropoutRateHeterogeneity bgbb.PlotFrequencyInCalibration bgbb.PlotFrequencyInHoldout bgbb.PlotFreqVsConditionalExpectedFrequency bgbb.PlotRecVsConditionalExpectedFrequency bgbb.PlotTrackingCum bgbb.PlotTrackingInc bgbb.PlotTransactionRateHeterogeneity bgbb.pmf bgbb.pmf.General bgbb.PosteriorMeanDropoutRate bgbb.PosteriorMeanLmProductMoment bgbb.PosteriorMeanTransactionRate bgbb.rf.matrix.DERT bgbb.rf.matrix.LL bgbb.rf.matrix.PosteriorMeanDropoutRate bgbb.rf.matrix.PosteriorMeanTransactionRate bgnbd.cbs.LL bgnbd.ConditionalExpectedTransactions bgnbd.EstimateParameters bgnbd.Expectation bgnbd.ExpectedCumulativeTransactions bgnbd.generalParams bgnbd.LL bgnbd.PAlive bgnbd.PlotDropoutRateHeterogeneity bgnbd.PlotFrequencyInCalibration bgnbd.PlotFreqVsConditionalExpectedFrequency bgnbd.PlotRecVsConditionalExpectedFrequency bgnbd.PlotTrackingCum bgnbd.PlotTrackingInc bgnbd.PlotTransactionRateHeterogeneity bgnbd.pmf bgnbd.pmf.General dc.BuildCBSFromCBTAndDates dc.BuildCBTFromElog dc.check.model.params dc.compress.cbs dc.CreateFreqCBT dc.CreateReachCBT dc.CreateSpendCBT dc.CumulativeToIncremental dc.DissipateElog dc.ElogToCbsCbt dc.FilterCustByBirth dc.GetFirstPurchasePeriodsFromCBT dc.GetLastPurchasePeriodsFromCBT dc.InputCheck dc.MakeRFmatrixCal dc.MakeRFmatrixHoldout dc.MakeRFmatrixSkeleton dc.MergeCustomers dc.MergeTransactionsOnSameDate dc.PlotLogLikelihoodContour dc.PlotLogLikelihoodContours dc.ReadLines dc.RemoveTimeBetween dc.SplitUpElogForRepeatTrans dc.WriteLine h2f1 pnbd.cbs.LL pnbd.ConditionalExpectedTransactions pnbd.DERT pnbd.EstimateParameters pnbd.Expectation pnbd.ExpectedCumulativeTransactions pnbd.generalParams pnbd.LL pnbd.PAlive pnbd.Plot.DERT pnbd.PlotDropoutRateHeterogeneity pnbd.PlotFrequencyInCalibration pnbd.PlotFreqVsConditionalExpectedFrequency pnbd.PlotRateHeterogeneity pnbd.PlotRecVsConditionalExpectedFrequency pnbd.PlotTrackingCum pnbd.PlotTrackingInc pnbd.PlotTransactionRateHeterogeneity pnbd.pmf pnbd.pmf.General spend.EstimateParameters spend.expected.value spend.generalParams spend.LL spend.marginal.likelihood spend.plot.average.transaction.value

Dependencies:cli contfrac deSolve dplyr elliptic generics glue hypergeo lattice lifecycle magrittr MASS Matrix nloptr numDeriv optimx pillar pkgconfig pracma R6 rlang tibble tidyselect utf8 vctrs withr

Buy 'Til You Die - A Walkthrough

Rendered fromBTYD-walkthrough.Rnwusingknitr::knitr

Last update: 2021-11-16
Started: 2020-11-08

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
This project was funded and sponsored by Wharton Customer Analytics.	BTYD-package BTYD
Add Logs	addLogs
BG/BB Conditional Expected Transactions	bgbb.ConditionalExpectedTransactions
BG/BB Discounted Expected Residual Transactions	bgbb.DERT
BG/BB Parameter estimation	bgbb.EstimateParameters
BG/BB Expectation	bgbb.Expectation
BG/BB Heatmap of Holdout Period Expected Transactions	bgbb.HeatmapHoldoutExpectedTrans
BG/BB Log-Likelihood	bgbb.LL
BG/BB P(Alive)	bgbb.PAlive
BG/BB Plot Dropout Rate Heterogeneity	bgbb.PlotDropoutRateHeterogeneity
BG/BB Plot Frequency in Calibration Period	bgbb.PlotFrequencyInCalibration
BG/BB Plot Frequency in Holdout	bgbb.PlotFrequencyInHoldout
BG/BB Plot Frequency vs Conditional Expected Frequency	bgbb.PlotFreqVsConditionalExpectedFrequency
BG/BB Plot Recency vs Conditional Expected Frequency	bgbb.PlotRecVsConditionalExpectedFrequency
BG/BB Tracking Cumulative Transactions Plot	bgbb.PlotTrackingCum
BG/BB Tracking Incremental Transactions Plot	bgbb.PlotTrackingInc
BG/BB Plot Transaction Rate Heterogeneity	bgbb.PlotTransactionRateHeterogeneity
BG/BB Probability Mass Function	bgbb.pmf
BG/BB General Probability Mass Function	bgbb.pmf.General
BG/BB Posterior Mean Dropout Rate	bgbb.PosteriorMeanDropoutRate
BG/BB Posterior Mean (l,m)th Product Moment	bgbb.PosteriorMeanLmProductMoment
BG/BB Posterior Mean Transaction Rate	bgbb.PosteriorMeanTransactionRate
BG/BB Discounted Expected Residual Transactions using a recency-frequency matrix	bgbb.rf.matrix.DERT
BG/BB Log-Likelihood using a recency-frequency matrix	bgbb.rf.matrix.LL
BG/BB Posterior Mean Dropout Rate using a recency-frequency matrix	bgbb.rf.matrix.PosteriorMeanDropoutRate
BG/BB Posterior Mean Transaction Rate using a recency-frequency matrix	bgbb.rf.matrix.PosteriorMeanTransactionRate
BG/NBD Log-Likelihood Wrapper	bgnbd.cbs.LL
BG/NBD Conditional Expected Transactions	bgnbd.ConditionalExpectedTransactions
BG/NBD Parameter Estimation	bgnbd.EstimateParameters
BG/NBD Expectation	bgnbd.Expectation
BG/NBD Expected Cumulative Transactions	bgnbd.ExpectedCumulativeTransactions
Define general parameters	bgnbd.generalParams
BG/NBD Log-Likelihood	bgnbd.LL
BG/NBD P(Alive)	bgnbd.PAlive
BG/NBD Plot Dropout Probability Heterogeneity	bgnbd.PlotDropoutRateHeterogeneity
BG/NBD Plot Frequency in Calibration Period	bgnbd.PlotFrequencyInCalibration
BG/NBD Plot Frequency vs. Conditional Expected Frequency	bgnbd.PlotFreqVsConditionalExpectedFrequency
BG/NBD Plot Actual vs. Conditional Expected Frequency by Recency	bgnbd.PlotRecVsConditionalExpectedFrequency
BG/NBD Tracking Cumulative Transactions Plot	bgnbd.PlotTrackingCum
BG/NBD Tracking Incremental Transactions Comparison	bgnbd.PlotTrackingInc
BG/NBD Plot Transaction Rate Heterogeneity	bgnbd.PlotTransactionRateHeterogeneity
BG/NBD Probability Mass Function	bgnbd.pmf
Generalized BG/NBD Probability Mass Function	bgnbd.pmf.General
CDNOW event log data	cdnowElog
CDNOW repeat transaction data summary	cdnowSummary
Build CBS matrix from CBT matrix	dc.BuildCBSFromCBTAndDates
Build Customer-by-Time Matrix from Event Log	dc.BuildCBTFromElog
Check model params	dc.check.model.params
Compress Customer-by-Sufficient-Statistic (CBS) Matrix	dc.compress.cbs
Create Frequency Customer-by-Time Matrix	dc.CreateFreqCBT
Create Reach Customer-by-Time Matrix	dc.CreateReachCBT
Create Spend Customer-by-Time Matrix	dc.CreateSpendCBT
Cumulative to Incremental	dc.CumulativeToIncremental
Dissipate Event Log	dc.DissipateElog
Convert Event Log to CBS and CBT Matrices	dc.ElogToCbsCbt
Filter Customer by Birth	dc.FilterCustByBirth
Get First Purchase Periods from Customer-by-Time Matrix	dc.GetFirstPurchasePeriodsFromCBT
Get Last Purchase Periods from Customer-by-Time Matrix	dc.GetLastPurchasePeriodsFromCBT
Check the inputs to functions that use this common pattern	dc.InputCheck
Make Calibration Period Recency-Frequency Matrix	dc.MakeRFmatrixCal
Make Holdout Period Recency-Frequency Matrix	dc.MakeRFmatrixHoldout
Make Recency-Frequency Matrix Skeleton	dc.MakeRFmatrixSkeleton
Merge Customers	dc.MergeCustomers
Merge Transactions on Same Day	dc.MergeTransactionsOnSameDate
Plot Log-Likelihood Contour	dc.PlotLogLikelihoodContour
Plot Log-Likelihood Contours	dc.PlotLogLikelihoodContours
Read Lines	dc.ReadLines
Remove Time Between	dc.RemoveTimeBetween
Split Up Event Log for Repeat Transactions	dc.SplitUpElogForRepeatTrans
Write Line	dc.WriteLine
Discrete simulated annual event log data	discreteSimElog
Discrete donation data summary	donationsSummary
Use Bruce Hardie's Gaussian hypergeometric implementation	h2f1
Pareto/NBD Log-Likelihood	pnbd.cbs.LL
Pareto/NBD Conditional Expected Transactions	pnbd.ConditionalExpectedTransactions
Pareto/NBD Discounted Expected Residual Transactions	pnbd.DERT
Pareto/NBD Parameter Estimation	pnbd.EstimateParameters
Pareto/NBD Expectation	pnbd.Expectation
Pareto/NBD Expected Cumulative Transactions	pnbd.ExpectedCumulativeTransactions
Define general parameters	pnbd.generalParams
Pareto/NBD Log-Likelihood	pnbd.LL
Pareto/NBD P(Alive)	pnbd.PAlive
Pareto/NBD Plot Discounted Expected Residual Transactions	pnbd.Plot.DERT
Pareto/NBD Plot Dropout Rate Heterogeneity	pnbd.PlotDropoutRateHeterogeneity
Pareto/NBD Plot Frequency in Calibration Period	pnbd.PlotFrequencyInCalibration
Pareto/NBD Plot Frequency vs. Conditional Expected Frequency	pnbd.PlotFreqVsConditionalExpectedFrequency
Plot Pareto/NBD Rate Heterogeneity	pnbd.PlotRateHeterogeneity
Pareto/NBD Plot Actual vs. Conditional Expected Frequency by Recency	pnbd.PlotRecVsConditionalExpectedFrequency
Pareto/NBD Tracking Cumulative Transactions Plot	pnbd.PlotTrackingCum
Pareto/NBD Tracking Incremental Transactions Comparison	pnbd.PlotTrackingInc
Pareto/NBD Plot Transaction Rate Heterogeneity	pnbd.PlotTransactionRateHeterogeneity
Pareto/NBD Probability Mass Function	pnbd.pmf
Generalized Pareto/NBD Probability Mass Function	pnbd.pmf.General
Spend Parameter Estimation	spend.EstimateParameters
Conditional expected transaction value	spend.expected.value
Define general parameters	spend.generalParams
Spend Log-Likelihood	spend.LL
Gamma-gamma marginal likelihood	spend.marginal.likelihood
Plot Actual vs. Expected Average Transaction Value	spend.plot.average.transaction.value
Subtract Logs	subLogs