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CLVTools  

Tools for Customer Lifetime Value Estimation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CLVTools", "0.11.2")



Attach the package and use:
library("CLVTools")
Maintained by
Patrick Bachmann
[Scholar Profile | Author Map]
First Published: 2020-05-08
Latest Update: 2023-10-23
Description:
A set of state-of-the-art probabilistic modeling approaches to derive estimates of individual customer lifetime values (CLV). Commonly, probabilistic approaches focus on modelling 3 processes, i.e. individuals' attrition, transaction, and spending process. Latent customer attrition models, which are also known as "buy-'til-you-die models", model the attrition as well as the transaction process. They are used to make inferences and predictions about transactional patterns of individual customers such as their future purchase behavior. Moreover, these models have also been used to predict individuals
How to cite:
Patrick Bachmann (2020). CLVTools: Tools for Customer Lifetime Value Estimation. R package version 0.11.2, https://cran.r-project.org/web/packages/CLVTools. Accessed 02 May. 2025.
Previous versions and publish date:
0.5.0 (2020-05-08 17:00), 0.6.0 (2020-06-25 00:10), 0.7.0 (2020-08-26 22:10), 0.8.0 (2021-03-23 17:40), 0.8.1 (2021-10-19 00:50), 0.9.0 (2022-01-09 02:32), 0.10.0 (2023-10-23 22:10), 0.11.0 (2024-08-17 08:00), 0.11.1 (2024-10-13 06:20)
Other packages that cited CLVTools R package
View CLVTools citation profile
Other R packages that CLVTools depends, imports, suggests or enhances
Complete documentation for CLVTools
Functions, R codes and Examples using the CLVTools R package
Some associated functions: CLVTools-package . SetDynamicCovariates . SetStaticCovariates . apparelDynCov . apparelStaticCov . apparelTrans . as.clv.data . as.data.frame.clv.data . as.data.table.clv.data . bgbb . bgnbd . bgnbd_CET . bgnbd_LL . bgnbd_PAlive . bgnbd_expectation . bgnbd_pmf . cdnow . clv.bgnbd-class . clv.bgnbd.static.cov-class . clv.data-class . clv.data.dynamic.covariates-class . clv.data.static.covariates-class . clv.fitted-class . clv.fitted.spending-class . clv.fitted.transactions-class . clv.fitted.transactions.dynamic.cov-class . clv.fitted.transactions.static.cov-class . clv.gg-class . clv.ggomnbd-class . clv.ggomnbd.static.cov-class . clv.model-class . clv.model.bgnbd.no.cov-class . clv.model.bgnbd.static.cov-class . clv.model.gg-class . clv.model.ggomnbd.no.cov-class . clv.model.ggomnbd.static.cov-class . clv.model.no.correlation-class . clv.model.pnbd.dynamic.cov-class . clv.model.pnbd.no.cov-class . clv.model.pnbd.static.cov-class . clv.model.with.correlation-class . clv.pnbd-class . clv.pnbd.dynamic.cov-class . clv.pnbd.static.cov-class . clv.time-class . clv.time.date-class . clv.time.datetime-class . clv.time.days-class . clv.time.hours-class . clv.time.weeks-class . clv.time.years-class . clvdata . fitted.clv.fitted . gg . gg_LL . ggomnbd . ggomnbd_CET . ggomnbd_LL . ggomnbd_PAlive . ggomnbd_expectation . nobs.clv.data . nobs.clv.fitted . plot.clv.data . plot.clv.fitted.spending . plot.clv.fitted.transactions . pmf . pnbd . pnbd_CET . pnbd_DERT . pnbd_LL . pnbd_PAlive . pnbd_expectation . pnbd_pmf . predict.clv.fitted.spending . predict.clv.fitted.transactions . subset.clv.data . summary.clv.data . summary.clv.fitted . summary.clv.time . vcov.clv.fitted . vec_gsl_hyp2f0_e . vec_gsl_hyp2f1_e . 
Some associated R codes: CLVTools.R . RcppExports.R . all_generics.R . class_clv_bgnbd.R . class_clv_bgnbd_staticcov.R . class_clv_data.R . class_clv_data_dynamiccovariates.R . class_clv_data_staticcovariates.R . class_clv_fitted.R . class_clv_fitted_spending.R . class_clv_fitted_transactions.R . class_clv_fitted_transactions_dynamiccov.R . class_clv_fitted_transactions_staticcov.R . class_clv_gg.R . class_clv_ggomnbd.R . class_clv_ggomnbd_staticcov.R . class_clv_model.R . class_clv_model_bgnbd.R . class_clv_model_bgnbd_staticcov.R . class_clv_model_gg.R . class_clv_model_ggomnbd_nocov.R . class_clv_model_ggomnbd_staticcov.R . class_clv_model_nocorrelation.R . class_clv_model_pnbd.R . class_clv_model_pnbd_dynamiccov.R . class_clv_model_pnbd_staticcov.R . class_clv_model_withcorrelation.R . class_clv_pnbd.R . class_clv_pnbd_dynamiccov.R . class_clv_pnbd_staticcov.R . class_clv_time.R . class_clv_time_date.R . class_clv_time_datetime.R . class_clv_time_days.R . class_clv_time_hours.R . class_clv_time_weeks.R . class_clv_time_years.R . clv_template_controlflow_estimate.R . clv_template_controlflow_pmf.R . clv_template_controlflow_predict.R . data.R . f_DoExpectation.R . f_clvdata_inputchecks.R . f_clvfitted_inputchecks.R . f_generics_clvfitted.R . f_generics_clvfitted_estimate.R . f_generics_clvfittedspending.R . f_generics_clvfittedtransactions.R . f_generics_clvfittedtransactionsdyncov.R . f_generics_clvfittedtransactionsstaticcov.R . f_generics_clvfittedtransactionsstaticcov_estimate.R . f_generics_clvpnbddyncov.R . f_interface_bgbb.R . f_interface_bgnbd.R . f_interface_clvdata.R . f_interface_gg.R . f_interface_ggomnbd.R . f_interface_pmf.R . f_interface_pnbd.R . f_interface_predict_clvfittedspending.R . f_interface_predict_clvfittedtransactions.R . f_interface_setdynamiccovariates.R . f_interface_setstaticcovariates.R . f_s3generics_clvdata.R . f_s3generics_clvdata_dynamiccov.R . f_s3generics_clvdata_plot.R . f_s3generics_clvdata_staticcov.R . f_s3generics_clvfitted.R . f_s3generics_clvfittedspending_plot.R . f_s3generics_clvfittedtransactions_plot.R . f_s3generics_clvfittedtransactions_staticcov.R . f_s3generics_clvtime.R . interlayer_callLL.R . interlayer_callnextinterlayer.R . interlayer_constraints.R . interlayer_correlation.R . interlayer_manager.R . interlayer_regularization.R . pnbd_dyncov_ABCD.R . pnbd_dyncov_BkSum.R . pnbd_dyncov_CET.R . pnbd_dyncov_DECT.R . pnbd_dyncov_LL.R . pnbd_dyncov_createwalks.R . pnbd_dyncov_expectation.R . pnbd_dyncov_makewalks.R . pnbd_dyncov_palive.R .  Full CLVTools package functions and examples
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