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foretell  

Projecting Customer Retention Based on Fader and Hardie Probability Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("foretell", "0.2.0")



Attach the package and use:
library("foretell")
Maintained by
Srihari Jaganathan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-01
Latest Update: 2019-04-08
Description:
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) and Fader and Hardie et al. (2018) .
How to cite:
Srihari Jaganathan (2019). foretell: Projecting Customer Retention Based on Fader and Hardie Probability Models. R package version 0.2.0, https://cran.r-project.org/web/packages/foretell. Accessed 30 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:39), 0.1.0 (2019-04-01 11:10)
Other packages that cited foretell R package
View foretell citation profile
Other R packages that foretell depends, imports, suggests or enhances
Complete documentation for foretell
Functions, R codes and Examples using the foretell R package
Some associated functions: BG . BdW . LCW . customer_retention . exltrend . persistency_data . 
Some associated R codes: BG.R . BdW.R . LCW.R . customer_retention.R . exltrend.R . persistency_data.R .  Full foretell package functions and examples
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