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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) <doi:10.2307/2985810>], MBG/NBD [Batislam et al (2007) <doi:10.1016/j.ijresmar.2006.12.005>], (M)BG/CNBD-k [Reutterer et al (2020) <doi:10.1016/j.ijresmar.2020.09.002>], Pareto/NBD (HB) [Abe (2009) <doi:10.1287/mksc.1090.0502>] and Pareto/GGG [Platzer and Reutterer (2016) <doi:10.1287/mksc.2015.0963>].
| Version: | 1.2.0 |
| Depends: | R (≥ 3.2.0) |
| Imports: | Rcpp, BTYD (≥ 2.3), coda, data.table, mvtnorm, bayesm, stats, graphics |
| LinkingTo: | Rcpp |
| Suggests: | testthat, covr, knitr, rmarkdown, gsl, lintr (≥ 1.0.0) |
| Published: | 2021-01-21 |
| DOI: | 10.32614/CRAN.package.BTYDplus |
| Author: | Michael Platzer [aut, cre] |
| Maintainer: | Michael Platzer <michael.platzer at gmail.com> |
| BugReports: | https://github.com/mplatzer/BTYDplus/issues |
| License: | GPL-3 |
| URL: | https://github.com/mplatzer/BTYDplus#readme |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | BTYDplus results |
| Reference manual: | BTYDplus.pdf |
| Vignettes: |
Customer Base Analysis with BTYDplus |
| Package source: | BTYDplus_1.2.0.tar.gz |
| Windows binaries: | r-devel: BTYDplus_1.2.0.zip, r-release: BTYDplus_1.2.0.zip, r-oldrel: BTYDplus_1.2.0.zip |
| macOS binaries: | r-release (arm64): BTYDplus_1.2.0.tgz, r-oldrel (arm64): BTYDplus_1.2.0.tgz, r-release (x86_64): BTYDplus_1.2.0.tgz, r-oldrel (x86_64): BTYDplus_1.2.0.tgz |
| Old sources: | BTYDplus archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.