Confidence Estimators for Individual Regression Predictions

Documentation for package ‘confReg’ version 0.1.3

DESCRIPTION file.
Overview of user guides and package vignettes; browse directory.
Package NEWS.

Help Pages

A C D E F G L M N P R S T U

confReg-package

Estimating Confidences of Individual Regression Predictions

-- A --

averageError	Average squared error
averageError-method	Average squared error
averageError-methods	Average squared error

-- C --

calculateFolds	Class "Dataset"
calculateFolds-method	Class "Dataset"
ConfidenceEstimator-class	Class "ConfidenceEstimator"
ConfidenceEstimatorAverageBiasedDistance	Class "ConfidenceEstimatorAverageBiasedDistance"
ConfidenceEstimatorAverageBiasedDistance-class	Class "ConfidenceEstimatorAverageBiasedDistance"
ConfidenceEstimatorAverageBiasedDistance-method	Class "ConfidenceEstimatorAverageBiasedDistance"
ConfidenceEstimatorAverageDistance	Class "ConfidenceEstimatorAverageDistance"
ConfidenceEstimatorAverageDistance-class	Class "ConfidenceEstimatorAverageDistance"
ConfidenceEstimatorAverageDistance-method	Class "ConfidenceEstimatorAverageDistance"
ConfidenceEstimatorBagging	Class "ConfidenceEstimatorBagging"
ConfidenceEstimatorBagging-class	Class "ConfidenceEstimatorBagging"
ConfidenceEstimatorBagging-method	Class "ConfidenceEstimatorBagging"
ConfidenceEstimatorDifferenceToNeighbors	Class "ConfidenceEstimatorDifferenceToNeighbors"
ConfidenceEstimatorDifferenceToNeighbors-class	Class "ConfidenceEstimatorDifferenceToNeighbors"
ConfidenceEstimatorDifferenceToNeighbors-method	Class "ConfidenceEstimatorDifferenceToNeighbors"
ConfidenceEstimatorLocalBias	Class "ConfidenceEstimatorLocalBias"
ConfidenceEstimatorLocalBias-class	Class "ConfidenceEstimatorLocalBias"
ConfidenceEstimatorLocalBias-method	Class "ConfidenceEstimatorLocalBias"
ConfidenceEstimatorLocalCV	Class "ConfidenceEstimatorLocalCV"
ConfidenceEstimatorLocalCV-class	Class "ConfidenceEstimatorLocalCV"
ConfidenceEstimatorLocalCV-method	Class "ConfidenceEstimatorLocalCV"
ConfidenceEstimatorLocalVariance	Class "ConfidenceEstimatorLocalVariance"
ConfidenceEstimatorLocalVariance-class	Class "ConfidenceEstimatorLocalVariance"
ConfidenceEstimatorLocalVariance-method	Class "ConfidenceEstimatorLocalVariance"
ConfidenceEstimatorMinimumDistance	Class "ConfidenceEstimatorMinimumDistance"
ConfidenceEstimatorMinimumDistance-class	Class "ConfidenceEstimatorMinimumDistance"
ConfidenceEstimatorMinimumDistance-method	Class "ConfidenceEstimatorMinimumDistance"
ConfidenceEstimatorNNErrors	Class "ConfidenceEstimatorNNErrors"
ConfidenceEstimatorNNErrors-class	Class "ConfidenceEstimatorNNErrors"
ConfidenceEstimatorNNErrors-method	Class "ConfidenceEstimatorNNErrors"
ConfidenceEstimatorNNVariance	Class "ConfidenceEstimatorNNVariance"
ConfidenceEstimatorNNVariance-class	Class "ConfidenceEstimatorNNVariance"
ConfidenceEstimatorNNVariance-method	Class "ConfidenceEstimatorNNVariance"
ConfidenceEstimatorNumberOfNeighbors	Class "ConfidenceEstimatorNumberOfNeighbors"
ConfidenceEstimatorNumberOfNeighbors-class	Class "ConfidenceEstimatorNumberOfNeighbors"
ConfidenceEstimatorNumberOfNeighbors-method	Class "ConfidenceEstimatorNumberOfNeighbors"
ConfidenceEstimatorPredictiveVariance	Class "ConfidenceEstimatorPredictiveVariance"
ConfidenceEstimatorPredictiveVariance-class	Class "ConfidenceEstimatorPredictiveVariance"
ConfidenceEstimatorPredictiveVariance-method	Class "ConfidenceEstimatorPredictiveVariance"
ConfidenceEstimatorSVM	Class "ConfidenceEstimatorSVM"
ConfidenceEstimatorSVM-class	Class "ConfidenceEstimatorSVM"
ConfidenceEstimatorSVM-method	Class "ConfidenceEstimatorSVM"
confReg	Estimating Confidences of Individual Regression Predictions
create	Class "ConfidenceEstimator"
create-method	Class "ConfidenceEstimator"
create-method	Class "ConfidenceEstimatorAverageBiasedDistance"
create-method	Class "ConfidenceEstimatorAverageDistance"
create-method	Class "ConfidenceEstimatorBagging"
create-method	Class "ConfidenceEstimatorDifferenceToNeighbors"
create-method	Class "ConfidenceEstimatorLocalBias"
create-method	Class "ConfidenceEstimatorLocalCV"
create-method	Class "ConfidenceEstimatorLocalVariance"
create-method	Class "ConfidenceEstimatorMinimumDistance"
create-method	Class "ConfidenceEstimatorNNErrors"
create-method	Class "ConfidenceEstimatorNNVariance"
create-method	Class "ConfidenceEstimatorNumberOfNeighbors"
create-method	Class "ConfidenceEstimatorPredictiveVariance"
create-method	Class "ConfidenceEstimatorSVM"

-- D --

Dataset	Class "Dataset"
Dataset-class	Class "Dataset"
Dataset-method	Class "Dataset"
dim-method	Class "Dataset"

-- E --

estimate	Class "ConfidenceEstimator"
estimate-method	Class "ConfidenceEstimator"
estimate-method	Class "ConfidenceEstimatorAverageBiasedDistance"
estimate-method	Class "ConfidenceEstimatorAverageDistance"
estimate-method	Class "ConfidenceEstimatorBagging"
estimate-method	Class "ConfidenceEstimatorDifferenceToNeighbors"
estimate-method	Class "ConfidenceEstimatorLocalBias"
estimate-method	Class "ConfidenceEstimatorLocalCV"
estimate-method	Class "ConfidenceEstimatorLocalVariance"
estimate-method	Class "ConfidenceEstimatorMinimumDistance"
estimate-method	Class "ConfidenceEstimatorNNErrors"
estimate-method	Class "ConfidenceEstimatorNNVariance"
estimate-method	Class "ConfidenceEstimatorNumberOfNeighbors"
estimate-method	Class "ConfidenceEstimatorPredictiveVariance"
estimate-method	Class "ConfidenceEstimatorSVM"
evaluateConfidenceEstimates	Evaluate confidences estimates
evaluateConfidenceEstimates-method	Evaluate confidences estimates
evaluateConfidenceEstimates-methods	Evaluate confidences estimates
evaluateInCV	Class "ModelEvaluation"
evaluateInCV-method	Class "ModelEvaluation"

-- F --

FastRegression	Class "FastRegression"
FastRegression-class	Class "FastRegression"
FastRegression-method	Class "FastRegression"
FeatureSelection-class	Class "FeatureSelection"
featureSet<-	Class "Dataset"
featureSet<--method	Class "Dataset"

-- G --

getData	Class "Dataset"
getData-method	Class "Dataset"
getEstimatedPerformance	Class "ConfidenceEstimator"
getEstimatedPerformance-method	Class "ConfidenceEstimator"
getFeatureSet	Class "Dataset"
getFeatureSet-method	Class "Dataset"
getFeatureSet-methods	Class "Dataset"
getNumberOfInstances	Class "Dataset"
getNumberOfInstances-method	Class "Dataset"
getPredictionsOfCV	Class "ModelEvaluation"
getPredictionsOfCV-method	Class "ModelEvaluation"
getResponses	Class "Dataset"
getResponses-method	Class "Dataset"

-- L --

learnFromDataset	Class "Regression"
learnFromDataset-method	Class "FastRegression"
learnFromDataset-method	Class "Regression"
loadObject	Load object from binary file
loadObject-method	Load object from binary file
loadObject-methods	Load object from binary file

-- M --

ModelEvaluation	Class "ModelEvaluation"
ModelEvaluation-class	Class "ModelEvaluation"
ModelEvaluation-method	Class "ModelEvaluation"

-- N --

normalize	Class "Dataset"
normalize-method	Class "Dataset"
normalizeBy	Class "Dataset"
normalizeBy-method	Class "Dataset"

-- P --

plotConfidenceCurve	Class "ConfidenceEstimator"
plotConfidenceCurve-method	Class "ConfidenceEstimator"
plotConfidenceIntervals	Class "ConfidenceEstimator"
plotConfidenceIntervals-method	Class "ConfidenceEstimator"
predictDataset	Class "Regression"
predictDataset-method	Class "FastRegression"
predictDataset-method	Class "Regression"

-- R --

Regression	Class "Regression"
Regression-class	Class "Regression"
Regression-method	Class "Regression"

-- S --

saveObject	Save object in binary file
saveObject-method	Save object in binary file
saveObject-methods	Save object in binary file
selectFeatures	Class "FeatureSelection"
selectFeatures-method	Class "FeatureSelection"
selectFeatures-method	Class "TwinScan"
splitByFolds	Class "Dataset"
splitByFolds-method	Class "Dataset"

-- T --

TwinScan	Class "TwinScan"
TwinScan-class	Class "TwinScan"
TwinScan-method	Class "TwinScan"

-- U --

unscaleVector	Class "Dataset"
unscaleVector-method	Class "Dataset"