Package: Modeler 3.4.7
Kevin R. Coombes
Modeler: Classes and Methods for Training and Using Binary Prediction Models
Defines classes and methods to learn models and use them to predict binary outcomes. These are generic tools, but we also include specific examples for many common classifiers.
Authors:
Modeler_3.4.7.tar.gz
Modeler_3.4.7.tar.gz(r-4.5-noble)Modeler_3.4.7.tar.gz(r-4.4-noble)
Modeler_3.4.7.tgz(r-4.4-emscripten)Modeler_3.4.7.tgz(r-4.3-emscripten)
Modeler.pdf |Modeler.html✨
Modeler/json (API)
NEWS
| # Install 'Modeler' in R: |
| install.packages('Modeler', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://r-forge.r-project.org/projects/oompa
Last updated 3 months agofrom:cd8b97daf3. Checks:2 OK, 1 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 09 2025 |
| R-4.5-linux | NOTE | Mar 09 2025 |
| R-4.4-linux | OK | Mar 09 2025 |
Exports:filterIQRfilterMaxfilterMeanfilterMedianfilterMinfilterRangefilterSDFittedModelfsChisquaredfsEntropyfsFisherRandomForestfsMedSplitOddsRatiofsModifiedFisherfsPearsonfsSpearmanfsTailRankfsTtestkeepAlllearnlearnCCPlearnKNNlearnLRlearnNNETlearnNNET2learnPCALRlearnRFlearnRPARTlearnSelectedLRlearnSVMlearnTailRankModelermodeler3NNmodeler5NNmodelerCCPmodelerLRmodelerNNETmodelerNNET2modelerPCALRmodelerRFmodelerRPARTmodelerSelectedLRmodelerSVMmodelerTailRankpredictpredictCCPpredictKNNpredictLRpredictNNETpredictNNET2predictPCALRpredictRFpredictRPARTpredictSelectedLRpredictSVMpredictTailRank
Dependencies:BiobaseBiocGenericsclassClassComparisonClassDiscoveryclusterDerive1071genericsMASSmclustneuralnetnnetoompaBaseoompaDataproxyrandomForestrpartTailRank
