foretell: Projecting Customer Retention Based on Fader and Hardie Probability Models

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
Author:	Srihari Jaganathan
Maintainer:	Srihari Jaganathan <sriharitn at gmail.com>
License:	GPL-3
NeedsCompilation:	no
Materials:	README
CRAN checks:	foretell results

Documentation:

Reference manual:

foretell.pdf

Downloads:

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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