Package: conformalClassification 1.0.0
conformalClassification: Transductive and Inductive Conformal Predictions for Classification Problems
Implementation of transductive conformal prediction (see Vovk, 2013, <doi:10.1007/978-3-642-41142-7_36>) and inductive conformal prediction (see Balasubramanian et al., 2014, ISBN:9780124017153) for classification problems.
Authors:
conformalClassification_1.0.0.tar.gz
conformalClassification_1.0.0.zip(r-4.5)conformalClassification_1.0.0.zip(r-4.4)conformalClassification_1.0.0.zip(r-4.3)
conformalClassification_1.0.0.tgz(r-4.4-any)conformalClassification_1.0.0.tgz(r-4.3-any)
conformalClassification_1.0.0.tar.gz(r-4.5-noble)conformalClassification_1.0.0.tar.gz(r-4.4-noble)
conformalClassification_1.0.0.tgz(r-4.4-emscripten)conformalClassification_1.0.0.tgz(r-4.3-emscripten)
conformalClassification.pdf |conformalClassification.html✨
conformalClassification/json (API)
# Install 'conformalClassification' in R: |
install.packages('conformalClassification', repos = c('https://niha21.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 7 years agofrom:5b3f31433a. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 03 2024 |
R-4.5-win | OK | Nov 03 2024 |
R-4.5-linux | OK | Nov 03 2024 |
R-4.4-win | OK | Nov 03 2024 |
R-4.4-mac | OK | Nov 03 2024 |
R-4.3-win | OK | Nov 03 2024 |
R-4.3-mac | OK | Nov 03 2024 |
Exports:CPCalibrationPlotCPEfficiencyCPErrorRateCPObsFuzzinessCPValidityfitModelICPClassificationparTCPClassificationTCPClassificationtcpPValues
Dependencies:codetoolsdoParallelforeachiteratorsmlbenchrandomForest