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:Please use the canonical form https://CRAN.R-project.org/package=rfm to link to this page.
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