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didrooRFM: Compute Recency Frequency Monetary Scores for your Customer Data

This hosts the findRFM function which generates RFM scores on a 1-5 point scale for customer transaction data. The function consumes a data frame with Transaction Number, Customer ID, Date of Purchase (in date format) and Amount of Purchase as the attributes. The function returns a data frame with RFM data for the sales information.

Version: 1.0.0
Depends: R (≥ 3.3.3)
Imports: dplyr
Published: 2017-05-27
DOI: 10.32614/CRAN.package.didrooRFM
Author: Satish Hariharan [aut, cre]
Maintainer: Satish Hariharan <satish181990 at gmail.com>
BugReports: https://goo.gl/forms/BU7rb8HmgTSeWZE02
License: GPL-2
NeedsCompilation: no
CRAN checks: didrooRFM results

Documentation:

Reference manual: didrooRFM.pdf

Downloads:

Package source: didrooRFM_1.0.0.tar.gz
Windows binaries: r-devel: didrooRFM_1.0.0.zip, r-release: didrooRFM_1.0.0.zip, r-oldrel: didrooRFM_1.0.0.zip
macOS binaries: r-release (arm64): didrooRFM_1.0.0.tgz, r-oldrel (arm64): didrooRFM_1.0.0.tgz, r-release (x86_64): didrooRFM_1.0.0.tgz, r-oldrel (x86_64): didrooRFM_1.0.0.tgz

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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