Package: rfm 0.3.0

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_0.3.0.tar.gz
rfm_0.3.0.zip(r-4.5)rfm_0.3.0.zip(r-4.4)rfm_0.3.0.zip(r-4.3)
rfm_0.3.0.tgz(r-4.4-any)rfm_0.3.0.tgz(r-4.3-any)
rfm_0.3.0.tar.gz(r-4.5-noble)rfm_0.3.0.tar.gz(r-4.4-noble)
rfm_0.3.0.tgz(r-4.4-emscripten)rfm_0.3.0.tgz(r-4.3-emscripten)
rfm.pdf |rfm.html
rfm/json (API)
NEWS

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

Peer review:

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

Datasets:

On CRAN:

customer-analyticscustomer-segmentationrfm-analysissegmentation

6.78 score 60 stars 83 scripts 2.4k downloads 1 mentions 27 exports 67 dependencies

Last updated 8 months agofrom:297ed8b34a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 23 2024
R-4.5-winOKOct 23 2024
R-4.5-linuxOKOct 23 2024
R-4.4-winOKOct 23 2024
R-4.4-macOKOct 23 2024
R-4.3-winOKOct 23 2024
R-4.3-macOKOct 23 2024

Exports:rfm_bar_chartrfm_barchart_datarfm_create_reportrfm_fm_plotrfm_heatmaprfm_heatmap_datarfm_histogramsrfm_launch_apprfm_order_distrfm_plot_bar_chartrfm_plot_heatmaprfm_plot_histogramrfm_plot_median_frequencyrfm_plot_median_monetaryrfm_plot_median_recencyrfm_plot_order_distrfm_plot_revenue_distrfm_plot_segmentrfm_plot_segment_scatterrfm_plot_segment_summaryrfm_rf_plotrfm_rm_plotrfm_segmentrfm_segment_summaryrfm_table_customerrfm_table_customer_2rfm_table_order

Dependencies:base64encbslibcachemclicolorspacecommonmarkcrayoncurldigestdplyrfansifarverfastmapfontawesomefsgenericsggfittextggplot2gluegridtextgtablehtmltoolshttpuvisobandjpegjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrmarkdownMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigpngpromisesR6rappdirsRColorBrewerRcpprlangsassscalesshadesshinysourcetoolsstringistringrtibbletidyselecttreemapifyutf8vctrsviridisLitewithrxfunxml2xplorerrxtable

RFM - Introduction

Rendered fromrfm-introduction.Rmdusingknitr::rmarkdownon Oct 23 2024.

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

Readme and manuals

Help Manual

Help pageTopics
Bar chart datarfm_barchart_data
RFM reportrfm_create_report
RFM customer datarfm_data_customer
RFM transaction datarfm_data_orders
Heatmap datarfm_heatmap_data
Launch shiny apprfm_launch_app
RFM bar chartrfm_bar_chart rfm_plot_bar_chart
RFM heatmaprfm_heatmap rfm_plot_heatmap
RFM histogramsrfm_histograms rfm_plot_histogram
Median plotsrfm_plot_median_frequency rfm_plot_median_monetary rfm_plot_median_recency
Customers by ordersrfm_order_dist rfm_plot_order_dist
Revenue distributionrfm_plot_revenue_dist
RFM Segmentation Plotrfm_plot_segment
Segment Scatter Plotsrfm_plot_segment_scatter
Visulaize segment summaryrfm_plot_segment_summary
RFM Scatter plotrfm_fm_plot rfm_rf_plot rfm_rm_plot
Segmentationrfm_segment
Segment summaryrfm_segment_summary
RFM table (customer data)rfm_table_customer rfm_table_customer_2
RFM table (transaction data)rfm_table_order