Package: didrooRFM 1.0.0

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.

Authors:Satish Hariharan [aut, cre]

didrooRFM_1.0.0.tar.gz
didrooRFM_1.0.0.zip(r-4.7)didrooRFM_1.0.0.zip(r-4.6)didrooRFM_1.0.0.zip(r-4.5)
didrooRFM_1.0.0.tgz(r-4.6-any)didrooRFM_1.0.0.tgz(r-4.5-any)
didrooRFM_1.0.0.tar.gz(r-4.7-any)didrooRFM_1.0.0.tar.gz(r-4.6-any)
didrooRFM_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
didrooRFM/json (API)

# Install 'didrooRFM' in R:

install.packages('didrooRFM', repos = c('https://didroo55.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 8 scripts 193 downloads 1 exports 15 dependencies

Last updated from:9ef63a16e8. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	108
source / vignettes	OK	173
linux-release-x86_64	OK	112
macos-release-arm64	OK	163
macos-oldrel-arm64	OK	135
windows-devel	OK	81
windows-release	OK	85
windows-oldrel	OK	66
wasm-release	OK	90