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: | 0.2.2 |
Depends: | R (≥ 3.2) |
Imports: | dplyr, ggplot2, ggthemes, lubridate, magrittr, RColorBrewer, rlang, stats, tibble, tidyr, utils, xplorerr |
Suggests: | covr, DT, kableExtra, knitr, rmarkdown, testthat, vdiffr |
Published: | 2020-07-21 |
Author: | Aravind Hebbali |
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 |
Reference manual: | rfm.pdf |
Vignettes: |
RFM - Customer Level Data RFM - Transaction Level Data |
Package source: | rfm_0.2.2.tar.gz |
Windows binaries: | r-devel: rfm_0.2.2.zip, r-release: rfm_0.2.2.zip, r-oldrel: rfm_0.2.2.zip |
macOS binaries: | r-release: rfm_0.2.2.tgz, r-oldrel: rfm_0.2.2.tgz |
Old sources: | rfm archive |
Reverse suggests: | xplorerr |
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