Package: Modeler 3.4.5

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:Kevin R. Coombes

Modeler_3.4.5.tar.gz
Modeler_3.4.5.tar.gz(r-4.5-noble)Modeler_3.4.5.tar.gz(r-4.4-noble)
Modeler_3.4.5.tgz(r-4.4-emscripten)Modeler_3.4.5.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'))

Peer review:

Bug tracker:https://r-forge.r-project.org/projects/oompa

microarrayclustering

3.48 score 1 packages 8 scripts 203 downloads 310 mentions 55 exports 19 dependencies

Last updated 6 years agofrom:c8bde802b1. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 29 2024
R-4.5-linuxNOTENov 29 2024

Exports:filterIQRfilterMaxfilterMeanfilterMedianfilterMinfilterRangefilterSDFittedModelfsChisquaredfsEntropyfsFisherRandomForestfsMedSplitOddsRatiofsModifiedFisherfsPearsonfsSpearmanfsTailRankfsTtestkeepAlllearnlearnCCPlearnKNNlearnLRlearnNNETlearnNNET2learnPCALRlearnRFlearnRPARTlearnSelectedLRlearnSVMlearnTailRankModelermodeler3NNmodeler5NNmodelerCCPmodelerLRmodelerNNETmodelerNNET2modelerPCALRmodelerRFmodelerRPARTmodelerSelectedLRmodelerSVMmodelerTailRankpredictpredictCCPpredictKNNpredictLRpredictNNETpredictNNET2predictPCALRpredictRFpredictRPARTpredictSelectedLRpredictSVMpredictTailRank

Dependencies:BiobaseBiocGenericsclassClassComparisonClassDiscoveryclusterDerive1071genericsMASSmclustneuralnetnnetoompaBaseoompaDataproxyrandomForestrpartTailRank

Modeler

Rendered fromModeler.Rnwusingutils::Sweaveon Nov 29 2024.

Last update: 2017-07-13
Started: 2017-07-13

Readme and manuals

Help Manual

Help pageTopics
Feature FilteringfilterIQR filterMax filterMean filterMedian filterMin filterRange filterSD
Feature SelectionfsChisquared fsEntropy fsFisherRandomForest fsMedSplitOddsRatio fsModifiedFisher fsPearson fsSpearman fsTailRank fsTtest keepAll
Creating FittedModel objectsFittedModel
Class "FittedModel"FittedModel-class predict,FittedModel-method
Learning models from datalearn
Fit models and make predictions with a PCA-LR classifierlearnCCP modelerCCP predictCCP
Fit models and make predictions with a KNN classifierlearnKNN modeler3NN modeler5NN predictKNN
Fit models and make predictions with a logistic regression classifierlearnLR modelerLR predictLR
Fit models and make predictions with a PCA-LR classifierlearnNNET modelerNNET predictNNET
Fit models and make predictions with a multi-level neural network classifierlearnNNET2 modelerNNET2 predictNNET2
Fit models and make predictions with a PCA-LR classifierlearnPCALR modelerPCALR predictPCALR
Fit models and make predictions with a PCA-LR classifierlearnRF modelerRF predictRF
Fit models and make predictions with a PCA-LR classifierlearnRPART modelerRPART predictRPART
Fit models and make predictions with a PCA-LR classifierlearnSelectedLR modelerSelectedLR predictSelectedLR
Fit models and make predictions with a PCA-LR classifierlearnSVM modelerSVM predictSVM
Fit models and make predictions with a PCA-LR classifierlearnTailRank modelerTailRank predictTailRank
Constructor for "Modeler" objectsModeler
Class "Modeler"Modeler-class