Package: EMP 2.0.5

Cristian Bravo

EMP: Expected Maximum Profit Classification Performance Measure

Functions for estimating EMP (Expected Maximum Profit Measure) in Credit Risk Scoring and Customer Churn Prediction, according to Verbraken et al (2013, 2014) <doi:10.1109/TKDE.2012.50>, <doi:10.1016/j.ejor.2014.04.001>.

Authors:Cristian Bravo [aut, cre], Seppe vanden Broucke [ctb], Thomas Verbraken [aut]

EMP_2.0.5.tar.gz
EMP_2.0.5.zip(r-4.5)EMP_2.0.5.zip(r-4.4)EMP_2.0.5.zip(r-4.3)
EMP_2.0.5.tgz(r-4.5-any)EMP_2.0.5.tgz(r-4.4-any)EMP_2.0.5.tgz(r-4.3-any)
EMP_2.0.5.tar.gz(r-4.5-noble)EMP_2.0.5.tar.gz(r-4.4-noble)
EMP_2.0.5.tgz(r-4.4-emscripten)EMP_2.0.5.tgz(r-4.3-emscripten)
EMP.pdf |EMP.html✨
EMP/json (API)
NEWS

# Install 'EMP' in R:
install.packages('EMP', repos = c('https://banking-analytics-lab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/banking-analytics-lab/emp/issues

On CRAN:

Conda:

3.70 score 1 stars 6 scripts 221 downloads 20 mentions 2 exports 6 dependencies

Last updated 6 years agofrom:cd0f8fa387. Checks:6 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 19 2025
R-4.5-winNOTEMar 19 2025
R-4.5-macNOTEMar 19 2025
R-4.5-linuxNOTEMar 19 2025
R-4.4-winOKMar 19 2025
R-4.4-macOKMar 19 2025
R-4.4-linuxOKMar 19 2025
R-4.3-winOKMar 19 2025
R-4.3-macOKMar 19 2025

Exports:empChurnempCreditScoring

Dependencies:bitopscaToolsgplotsgtoolsKernSmoothROCR