<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Compute Recency Frequency Monetary Scores for your Customer Data</dc:title>
  <dc:title>R package didrooRFM version 1.0.0</dc:title>
  <dc:description>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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.3.3)</dc:relation>
  <dc:relation>Imports: dplyr</dc:relation>
  <dc:creator>Satish Hariharan &lt;satish181990@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Satish Hariharan [aut, cre]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2017-05-27</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=didrooRFM</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.didrooRFM</dc:identifier>
</oai_dc:dc>
