Package: rfm 0.4.0

Aravind Hebbali

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>.

Authors:Aravind Hebbali [aut, cre]

rfm_0.4.0.tar.gz
rfm_0.4.0.zip(r-4.7)rfm_0.4.0.zip(r-4.6)rfm_0.4.0.zip(r-4.5)
rfm_0.4.0.tgz(r-4.6-any)rfm_0.4.0.tgz(r-4.5-any)
rfm_0.4.0.tar.gz(r-4.7-any)rfm_0.4.0.tar.gz(r-4.6-any)
rfm_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rfm/json (API)

# Install 'rfm' in R:

install.packages('rfm', repos = c('https://rsquaredacademy.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rsquaredacademy/rfm/issues

Pkgdown/docs site:https://rfm.rsquaredacademy.com

Datasets:

rfm_data_customer - RFM customer data
rfm_data_orders - RFM transaction data

On CRAN:

customer-analytics customer-segmentation rfm-analysis segmentation

6.76 score 69 stars 120 scripts 1.4k downloads 1 mentions 27 exports 101 dependencies

Last updated from:80dda40c6e. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	182
source / vignettes	OK	222
linux-release-x86_64	OK	190
macos-release-arm64	OK	129
macos-oldrel-arm64	OK	131
windows-devel	OK	124
windows-release	OK	127
windows-oldrel	OK	122
wasm-release	OK	186

Exports:rfm_bar_chart rfm_barchart_data rfm_create_report rfm_fm_plot rfm_heatmap rfm_heatmap_data rfm_histograms rfm_launch_app rfm_order_dist rfm_plot_bar_chart rfm_plot_heatmap rfm_plot_histogram rfm_plot_median_frequency rfm_plot_median_monetary rfm_plot_median_recency rfm_plot_order_dist rfm_plot_revenue_dist rfm_plot_segment rfm_plot_segment_scatter rfm_plot_segment_summary rfm_rf_plot rfm_rm_plot rfm_segment rfm_segment_summary rfm_table_customer rfm_table_customer_2 rfm_table_order

Dependencies:askpass base64enc bslib cachem class classInt cli commonmark cpp11 crayon crosstalk curl data.table DBI digest dplyr e1071 evaluate farver fastmap fontawesome fs generics gganimate ggfittext ggplot2 glue gridtext gtable highr hms htmltools htmlwidgets httpuv httr isoband jpeg jquerylib jsonlite KernSmooth knitr labeling later lazyeval lifecycle litedown lpSolve magrittr markdown MASS memoise mime openssl otel pillar pkgconfig plotly png prettyunits progress promises proxy purrr R6 rappdirs RColorBrewer Rcpp rlang rmarkdown s2 S7 sass scales sf shades shiny sourcetools stringi stringr svglite sys systemfonts textshaping tibble tidyr tidyselect tinytex transformr treemapify tweenr units utf8 vctrs viridisLite withr wk xfun xml2 xplorerr xtable yaml

RFM - Introduction

Rendered fromrfm-introduction.Rmdusingknitr::rmarkdown

Last update: 2024-02-26
Started: 2023-06-28

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Bar chart data	rfm_barchart_data
RFM report	rfm_create_report
RFM customer data	rfm_data_customer
RFM transaction data	rfm_data_orders
Heatmap data	rfm_heatmap_data
Launch shiny app	rfm_launch_app
RFM bar chart	rfm_bar_chart rfm_plot_bar_chart
RFM heatmap	rfm_heatmap rfm_plot_heatmap
RFM histograms	rfm_histograms rfm_plot_histogram
Median plots	rfm_plot_median_frequency rfm_plot_median_monetary rfm_plot_median_recency
Customers by orders	rfm_order_dist rfm_plot_order_dist
Revenue distribution	rfm_plot_revenue_dist
RFM Segmentation Plot	rfm_plot_segment
Segment Scatter Plots	rfm_plot_segment_scatter
Visulaize segment summary	rfm_plot_segment_summary
RFM Scatter plot	rfm_fm_plot rfm_rf_plot rfm_rm_plot
Segmentation	rfm_segment
Segment summary	rfm_segment_summary
RFM table (customer data)	rfm_table_customer rfm_table_customer_2
RFM table (transaction data)	rfm_table_order