Package: logiBin 0.3
logiBin: Binning Variables to Use in Logistic Regression
Fast binning of multiple variables using parallel processing. A summary of all the variables binned is generated which provides the information value, entropy, an indicator of whether the variable follows a monotonic trend or not, etc. It supports rebinning of variables to force a monotonic trend as well as manual binning based on pre specified cuts. The cut points of the bins are based on conditional inference trees as implemented in the partykit package. The conditional inference framework is described by Hothorn T, Hornik K, Zeileis A (2006) <doi:10.1198/106186006X133933>.
Authors:
logiBin_0.3.tar.gz
logiBin_0.3.zip(r-4.5)logiBin_0.3.zip(r-4.4)logiBin_0.3.zip(r-4.3)
logiBin_0.3.tgz(r-4.4-any)logiBin_0.3.tgz(r-4.3-any)
logiBin_0.3.tar.gz(r-4.5-noble)logiBin_0.3.tar.gz(r-4.4-noble)
logiBin_0.3.tgz(r-4.4-emscripten)logiBin_0.3.tgz(r-4.3-emscripten)
logiBin.pdf |logiBin.html✨
logiBin/json (API)
| # Install 'logiBin' in R: |
| install.packages('logiBin', repos = c('https://snehatody1.r-universe.dev', 'https://cloud.r-project.org')) |
- loanData - Simulated default data of 100 customers
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:32b13c6059. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 16 2024 |
| R-4.5-win | OK | Oct 16 2024 |
| R-4.5-linux | OK | Oct 16 2024 |
| R-4.4-win | OK | Oct 16 2024 |
| R-4.4-mac | OK | Oct 16 2024 |
| R-4.3-win | OK | Oct 16 2024 |
| R-4.3-mac | OK | Oct 16 2024 |
Exports:binTestcreateBinsforceDecrTrendforceIncrTrendgetBinsmanualSplitnaCombine
Dependencies:codetoolsdata.tabledoParallelforeachFormulainumiteratorslatticelibcoinMatrixmvtnormpartykitrpartsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Checking the performance of the bins created on test data | binTest |
| Add binned variables to data | createBins |
| Force a numerical variable to follow a monotonically decreasing trend | forceDecrTrend |
| Force a numerical variable to follow a monotonically increasing trend | forceIncrTrend |
| Bins variables to be used in logistic regression | getBins |
| Simulated default data of 100 customers | loanData |
| Split a variable based on specified cuts | manualSplit |
| Combine NA bins | naCombine |
