Bootstrap-class         Class "Bootstrap"
CDdiagram.BD            CD diagrams for the post-hoc Boferroni-Dunn
                        test
CDdiagram.Nemenyi       CD diagrams for the post-hoc Nemenyi test
CV-class                Class "CV"
ComparisonResults-class
                        Class "ComparisonResults"
EstCommon-class         Class '"EstCommon"'
EstimationMethod-class
                        Class "EstimationMethod"
EstimationResults-class
                        Class "EstimationResults"
EstimationTask-class    Class '"EstimationTask"'
Holdout-class           Class "Holdout"
LOOCV-class             Class "LOOCV"
MonteCarlo-class        Class "MonteCarlo"
PredTask-class          Class "PredTask"
Workflow-class          Class "Workflow"
bootEstimates           Performance estimation using (e0 or .632)
                        bootstrap
classificationMetrics   Calculate some standard classification
                        evaluation metrics of predictive performance
cvEstimates             Performance estimation using cross validation
estimationSummary       Obtain a set of descriptive statistics of the
                        scores of a workflow on a task
getIterationsInfo       Obtaining the information returned by a
                        workflow when applied to a task, on a
                        particular iteration of the estimation process
                        or on all iterations
getIterationsPreds      Obtaining the predictions returned by a
                        workflow when applied to a task, on a
                        particular iteration of the estimation process,
                        or on all iterations
getScores               Obtaining the metric scores on the different
                        iterations for a workflow / task combination
getWorkflow             Obtain the workflow object corresponding to an
                        ID
hldEstimates            Performance estimation using holdout and random
                        resampling
is.classification       Check if a certain predictive task is a
                        classification problem
is.regression           Check if a certain predictive task is a
                        regression problem
knnImp                  Fill in NA values with the values of the
                        nearest neighbours
loocvEstimates          Performance estimation using Leave One Out
                        Cross Validation
mcEstimates             Performance estimation for time series
                        prediction tasks using Monte Carlo
mergeEstimationRes      Merging several 'ComparisonResults' class
                        objects
metricNames             The evaluation metrics estimated in an
                        experiment
metricsSummary          Obtains a summary of the individual metric
                        scores obtained by each workflow on a set of
                        tasks.
pairedComparisons       Statistical hypothesis testing on the observed
                        paired differences in estimated performance.
performanceEstimation   Estimate the predictive performance of modeling
                        alternatives on different predictive tasks
rankWorkflows           Provide a ranking of workflows involved in an
                        estimation process.
regressionMetrics       Calculate some standard regression evaluation
                        metrics of predictive performance
responseValues          Obtain the target variable values of a
                        prediction task
results2table           Obtains a dplyr data frame table object
                        containing all the results of an experiment
runWorkflow             Run a workflow on a predictive task
signifDiffs             Obtains a list with the set of paired
                        differences that are statistically significant
                        according to a p-value threshold
smote                   SMOTE algorithm for unbalanced classification
                        problems
standardPOST            A function for applying post-processing steps
                        to the predictions of a model
standardPRE             A function for applying data pre-processing
                        steps
standardWF              A function implementing a standard workflow for
                        prediction tasks
subset-methods          Methods for Function 'subset' in Package
                        'performanceEstimation'
taskNames               The prediction tasks involved in an estimation
                        experiment
timeseriesWF            A function implementing sliding and growing
                        window standard workflows for time series
                        forecasting tasks
topPerformer            Obtain the workflow that best performed in
                        terms of a metric on a task
topPerformers           Obtain the best scores from a performance
                        estimation experiment
workflowNames           The IDs of the workflows involved in an
                        estimation experiment
workflowVariants        Generate (parameter) variants of a workflow
