Package: foretell 0.3

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>.

Authors:Srihari Jaganathan

foretell_0.3.tar.gz
foretell_0.3.zip(r-4.7-any)foretell_0.3.zip(r-4.6-any)foretell_0.3.zip(r-4.5-any)
foretell_0.3.tgz(r-4.6-any)foretell_0.3.tgz(r-4.5-any)
foretell_0.3.tar.gz(r-4.7-any)foretell_0.3.tar.gz(r-4.6-any)
foretell_0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
foretell/json (API)

# Install 'foretell' in R:
install.packages('foretell', repos = c('https://sriharitn.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sriharitn/foretell/issues

Datasets:

On CRAN:

Conda:

3.78 score 12 stars 2 scripts 281 downloads 18 exports 6 dependencies

Last updated from:ac8f491a57. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING91
source / vignettesOK159
linux-releaseWARNING96
macos-releaseWARNING128
macos-oldrelWARNING162
windows-develWARNING67
windows-releaseWARNING62
windows-oldrelWARNING57
wasm-releaseOK85

Exports:BdWbdw1cBGdbdwdsbgexltrendgeom1cLCWpbdwpsbgqbdwqsbgrbdwrsbgsbg1csim.bdw1csim.geom1csim.sbg1c

Dependencies:latticeMASSMatrixnloptrnumDerivpracma