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
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


Reference manual: didrooRFM.pdf


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


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