Package: abcrlda 1.0.3
Dmitriy Fedorov
abcrlda: Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis
Offers methods to perform asymptotically bias-corrected regularized linear discriminant analysis (ABC_RLDA) for cost-sensitive binary classification. The bias-correction is an estimate of the bias term added to regularized discriminant analysis (RLDA) that minimizes the overall risk. The default magnitude of misclassification costs are equal and set to 0.5; however, the package also offers the options to set them to some predetermined values or, alternatively, take them as hyperparameters to tune. A. Zollanvari, M. Abdirash, A. Dadlani and B. Abibullaev (2019) <doi:10.1109/LSP.2019.2918485>.
Authors:
abcrlda_1.0.3.tar.gz
abcrlda_1.0.3.tar.gz(r-4.5-noble)abcrlda_1.0.3.tar.gz(r-4.4-noble)
abcrlda_1.0.3.tgz(r-4.4-emscripten)abcrlda_1.0.3.tgz(r-4.3-emscripten)
abcrlda.pdf |abcrlda.html✨
abcrlda/json (API)
| # Install 'abcrlda' in R: |
| install.packages('abcrlda', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:82dbc018c5. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-linux | OK | Nov 01 2024 |
Exports:abcrldacross_validationda_risk_estimatorgrid_searchrisk_calculate
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis for Cost-Sensitive Binary Classification | abcrlda |
| Cross Validation for separate sampling adjusted for cost. | cross_validation |
| Double Asymptotic Risk Estimator | da_risk_estimator |
| Grid Search | grid_search |
| Class Prediction for abcrlda objects | predict.abcrlda |
| Risk Calculate | risk_calculate |