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didrooRFM  

Compute Recency Frequency Monetary Scores for your Customer Data
View on CRAN: Click here


Download and install didrooRFM package within the R console
Install from CRAN:
install.packages("didrooRFM")

Install from Github:
library("remotes")
install_github("cran/didrooRFM")

Install by package version:
library("remotes")
install_version("didrooRFM", "1.0.0")



Attach the package and use:
library("didrooRFM")
Maintained by
Satish Hariharan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-05-27
Latest Update: 2017-05-27
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.
How to cite:
Satish Hariharan (2017). didrooRFM: Compute Recency Frequency Monetary Scores for your Customer Data. R package version 1.0.0, https://cran.r-project.org/web/packages/didrooRFM. Accessed 21 Nov. 2024.
Previous versions and publish date:
No previous versions
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Complete documentation for didrooRFM
Functions, R codes and Examples using the didrooRFM R package
Some associated functions: findRFM . 
Some associated R codes: findRFM.R .  Full didrooRFM package functions and examples
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