High-Performance Open-Source Archive
Project Customer Retention based on Beta Geometric, Beta Discrete Weibull and Latent Class Discrete Weibull Models.This package is based on Fader and Hardie (2007) <doi:10.1002/dir.20074> and Fader and Hardie et al. (2018) <doi:10.1016/j.intmar.2018.01.002>.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.0.1) |
| Imports: | stats, nloptr |
| Published: | 2019-04-08 |
| DOI: | 10.32614/CRAN.package.foretell |
| Author: | Srihari Jaganathan |
| Maintainer: | Srihari Jaganathan <sriharitn at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | foretell results |
| Reference manual: | foretell.html , foretell.pdf |
| Package source: | foretell_0.2.0.tar.gz |
| Windows binaries: | r-devel: foretell_0.2.0.zip, r-release: foretell_0.2.0.zip, r-oldrel: foretell_0.2.0.zip |
| macOS binaries: | r-release (arm64): foretell_0.2.0.tgz, r-oldrel (arm64): foretell_0.2.0.tgz, r-release (x86_64): foretell_0.2.0.tgz, r-oldrel (x86_64): foretell_0.2.0.tgz |
| Old sources: | foretell archive |
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