rfm: Recency, Frequency and Monetary Value Analysis
Tools for RFM (recency, frequency and monetary value) analysis.
Generate RFM score from both transaction and customer level data. Visualize the
relationship between recency, frequency and monetary value using heatmap,
histograms, bar charts and scatter plots. Includes a 'shiny' app for
interactive segmentation. References:
i. Blattberg R.C., Kim BD., Neslin S.A (2008) <doi:10.1007/978-0-387-72579-6_12>.
Version: |
0.3.0 |
Depends: |
R (≥ 3.2) |
Imports: |
dplyr, ggplot2, magrittr, RColorBrewer, rlang, scales, stats, treemapify, utils, xplorerr |
Suggests: |
cli, covr, DT, gganimate, gifski, kableExtra, knitr, png, plotly, rmarkdown, rmdformats, testthat (≥ 3.0.0), vdiffr |
Published: |
2024-02-26 |
DOI: |
10.32614/CRAN.package.rfm |
Author: |
Aravind Hebbali
[aut, cre] |
Maintainer: |
Aravind Hebbali <hebbali.aravind at gmail.com> |
BugReports: |
https://github.com/rsquaredacademy/rfm/issues |
License: |
MIT + file LICENSE |
URL: |
https://github.com/rsquaredacademy/rfm,
https://rfm.rsquaredacademy.com/ |
NeedsCompilation: |
no |
Materials: |
README NEWS |
CRAN checks: |
rfm results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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