Confidence Estimators for Individual Regression Predictions


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Documentation for package ‘confReg’ version 0.1.3

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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"