Modeler: Classes and Methods for Training and Using Binary Prediction Models
Version 3.4.0

The Modeler package defines classes and methods to learn models and use them to predict binary outcomes. These are generic tools, but also include specific examples for some common classifiers.

Browse man pages Browse package API and functions Browse package files

AuthorKevin R. Coombes
Bioconductor views Clustering Microarray
Date of publication2016-06-27 18:41:31
MaintainerKevin R. Coombes <krc@silicovore.com>
LicenseApache License (== 2.0)
Version3.4.0
URL http://oompa.r-forge.r-project.org/
Package repositoryView on R-Forge
InstallationInstall the latest version of this package by entering the following in R:
install.packages("Modeler", repos="http://R-Forge.R-project.org")

Man pages

filters: Feature Filtering
FittedModel: Creating FittedModel objects
FittedModel-class: Class "FittedModel"
learn: Learning models from data
learnCCP: Fit models and make predictions with a PCA-LR classifier
learnKNN: Fit models and make predictions with a KNN classifier
learnLR: Fit models and make predictions with a logistic regression...
learnNNET: Fit models and make predictions with a PCA-LR classifier
learnNNET2: Fit models and make predictions with a multi-level neural...
learnPCALR: Fit models and make predictions with a PCA-LR classifier
learnRF: Fit models and make predictions with a PCA-LR classifier
learnRPART: Fit models and make predictions with a PCA-LR classifier
learnSelectedLR: Fit models and make predictions with a PCA-LR classifier
learnSVN: Fit models and make predictions with a PCA-LR classifier
learnTailRank: Fit models and make predictions with a PCA-LR classifier
Modeler: Constructor for "Modeler" objects
Modeler-class: Class "Modeler"
Modeler-package: Model for classification and regression
pruners: Feature Selection

Functions

FittedModel Man page Source code
FittedModel-class Man page
Modeler Man page Source code
Modeler-class Man page
Modeler-package Man page
corstat Source code
disco Source code
discodata Source code
entropic Source code
filterIQR Man page Source code
filterMax Man page Source code
filterMean Man page Source code
filterMedian Man page Source code
filterMin Man page Source code
filterRange Man page Source code
filterSD Man page Source code
fsChisquared Man page Source code
fsEntropy Man page Source code
fsFisherRandomForest Man page Source code
fsMedSplitOddsRatio Man page Source code
fsModifiedFisher Man page Source code
fsPearson Man page Source code
fsSpearman Man page Source code
fsTailRank Man page Source code
fsTtest Man page Source code
keepAll Man page Source code
learn Man page Source code
learnCCP Man page Source code
learnKNN Man page Source code
learnLR Man page Source code
learnNNET Man page Source code
learnNNET2 Man page Source code
learnPCALR Man page Source code
learnRF Man page Source code
learnRPART Man page Source code
learnSVM Man page Source code
learnSelectedLR Man page Source code
learnTailRank Man page Source code
modeler3NN Man page
modeler5NN Man page
modelerCCP Man page
modelerLR Man page
modelerNNET Man page
modelerNNET2 Man page
modelerPCALR Man page
modelerRF Man page
modelerRPART Man page
modelerSVM Man page
modelerSelectedLR Man page
modelerTailRank Man page
predict,FittedModel-method Man page
predictCCP Man page Source code
predictKNN Man page Source code
predictLR Man page Source code
predictNNET Man page Source code
predictNNET2 Man page Source code
predictPCALR Man page Source code
predictRF Man page Source code
predictRPART Man page Source code
predictSVM Man page Source code
predictSelectedLR Man page Source code
predictTailRank Man page Source code

Files

DESCRIPTION
NAMESPACE
NEWS
R
R/m00-filter.R
R/m00-pruner.R
R/m01-Model.R
R/m02-FittedModel.R
R/m03-predictors.R
R/m05-RPART.R
R/m06-TailRank.R
R/m07-KNN.R
R/m08-CCP.R
R/m09-SVN.R
R/m10-RF.R
R/m11-NNET.R
R/m12-nnet2.R
TODO
build
build/vignette.rds
inst
inst/doc
inst/doc/Modeler.R
inst/doc/Modeler.Rnw
inst/doc/Modeler.pdf
inst/moreModels
inst/moreModels/design.txt
inst/moreModels/models.R
man
man/FittedModel-class.Rd
man/FittedModel.Rd
man/Modeler-class.Rd
man/Modeler-package.Rd
man/Modeler.Rd
man/filters.Rd
man/learn.Rd
man/learnCCP.Rd
man/learnKNN.Rd
man/learnLR.Rd
man/learnNNET.Rd
man/learnNNET2.Rd
man/learnPCALR.Rd
man/learnRF.Rd
man/learnRPART.Rd
man/learnSVN.Rd
man/learnSelectedLR.Rd
man/learnTailRank.Rd
man/pruners.Rd
tests
tests/t00-filter.R
tests/t00-filter.Rout.save
tests/t00-pruner.R
tests/t00-pruner.Rout.save
vignettes
vignettes/Modeler.Rnw
Modeler documentation built on May 21, 2017, 3:53 a.m.