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: 0.1.0
Depends: R (≥ 3.2.4)
Imports: assertthat, dplyr, forcats, ggplot2, grDevices, lubridate, magrittr, purrr, rlang, shiny, stats, tidyr, RColorBrewer
Suggests: covr, DT, haven, jsonlite, kableExtra, knitr, readr, readxl, rmarkdown, shinyBS, shinycssloaders, shinythemes, stringr, testthat, tools, vdiffr
Published: 2018-04-09
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


Reference manual: rfm.pdf
Vignettes: Introduction to RFM
Introduction to RFM
Package source: rfm_0.1.0.tar.gz
Windows binaries: r-devel: rfm_0.1.0.zip, r-release: rfm_0.1.0.zip, r-oldrel: rfm_0.1.0.zip
OS X binaries: r-release: rfm_0.1.0.tgz, r-oldrel: rfm_0.1.0.tgz


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