didrooRFM: Compute Recency Frequency Monetary Scores for your Customer Data (original) (raw)
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 |
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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 |
BugReports: | https://goo.gl/forms/BU7rb8HmgTSeWZE02 |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | didrooRFM results |
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