SPOT-package            Sequential Parameter Optimization Toolbox in R
Testfunctions           Single objective test functions for SPOT
daceBuilder             Build DACE model
dacePredictor           DACE predictor
forrBuilder             Build Forrester Kriging
forrCoBuilder           Build Forrester Co-Kriging
forrCoRegPredictor      Predict Forrester Co-Kriging Model
forrRegPredictor        Predict Forrester Model
forrReintPredictor      Predict Forrester Model (Re-interpolating)
spot                    Main function for the use of SPOT
spotAlgEs               Evolution Strategy Implementation
spotAlgStartEs          Interface for an Evolution Strategy to be tuned
                        by SPOT...
spotAlgStartEsGlg       Algorithm Interface to ES + GLG
spotAlgStartEsVar       Interface for an Evolution Strategy to be
                        robustly tuned by SPOT...
spotAlgStartRgp         Interface for RGP to be tuned by SPOT
spotAlgStartSann        Interface for SANN to be tuned by SPOT
spotAlgStartSannVar     Interface for SANN to be tuned robustly by SPOT
spotAlgStartSmsEmoaGlg
                        Algorithm Interface to ES + GLG
spotCreateDesign...     General Help on Design Creation in SPOT...
spotCreateDesignBasicDoe
                        spotCreateDesignBasicDoe
spotCreateDesignFactors
                        spotCreateDesignFactors
spotCreateDesignFrF2    spotCreateDesignFrF2
spotCreateDesignLhd     spotCreateDesignLhd
spotCreateDesignLhs     spotCreateDesignLhs
spotCreateDesignLhsOpt
                        spotCreateDesignLhsOpt
spotEnsembleMultiAlternate
                        spotEnsembleMultiAlternate
spotEnsembleMultiAverage
                        spotEnsembleMultiAverage
spotEnsembleMultiChoose
                        spotEnsembleMultiChoose
spotEnsembleMultiRank   spotEnsembleMultiRank
spotEnsembleMultiRankWeighted
                        spotEnsembleMultiRankWeighted
spotEnsembleSingleBLAbern
                        Single Ensemble: BLAbern
spotEnsembleSingleBLAnorm
                        Single Ensemble: BLAnorm
spotEnsembleSingleEpsGreedy
                        Single Ensemble: Epsilon Greedy
spotEnsembleSinglePOKER
                        Single Ensemble: POKER
spotEnsembleSingleRoundSearch
                        Single Ensemble: RoundSearch
spotEnsembleSingleSoftMax
                        Single Ensemble: SoftMax
spotEnsembleSingleUCB1
                        Single Ensemble: UCB1
spotFeedback            Ensemble Feedback Functions
spotGetOptions          Set all options by conf-file or by default
spotGlgCreate           Create Gaussian Landscape
spotGlgCreateN          Create Gaussian Landscape (multiple)
spotGlgCreateRot        Create Gaussian Landscape (rotated)
spotGlgCreateRotSearched
                        Create Gaussian Landscape (rotated) with random
                        search
spotGlgEval             Gaussian Landscape Evaluation
spotGlgEvalN            Gaussian Landscape Evaluation (multiple)
spotGlgEvalRot          Gaussian Landscape Evaluation (rotated)
spotGlgInit             Initialize Gaussian Landscape
spotGlgInitN            Initialize Gaussian Landscape (multiple)
spotGui                 Start the SPOT GUI
spotHelpInterfaces...   General Help on SPOT...
spotInfillExpImp        Neg. Log. of Expected Improvement Infill
                        Criterion
spotInfillHyperVolume   MCO Infill Criterion
spotInfillLcbHyperVolume
                        Hypervolume Lower Confidence Bound Infill
                        Criterion
spotInfillLcbMulti      Lower Confidence Bound Infill Criterion
spotInfillLcbSingle     Single objective lower confidence bound
spotInfillProbImp       Probability of Improvement Infill Criterion
spotInfillSD            Neg. SD Infill Criterion
spotInfillSExI2d        S-metric Expected Improvement SExI Infill
                        Criterion
spotModel.func          Model Prediction Interface
spotModel.predict       Model Prediction Interface
spotModel.train         Model Training Interface
spotModelDescentLm      Steepest Descent on RSM (linear model)
spotModelOptim          Optimize predicted meta model
spotModelParetoOptim    Multi criteria optimization of predicted
                        surrogate models
spotOcba                Optimal Computing Budget Allocation OCBA for
                        SPOT
spotOptim               spotOptim: optim-like spot interface
spotOptimEs             spotOptimEs: optim-like ES interface
spotOptimInterface      Interface for Target Functions
spotOptimLHS            spotOptimLHS
spotOptimizationInterface
                        spotOptimizationInterface
spotOptimizationInterfaceMco
                        spotOptimizationInterfaceMco
spotPredict...          General Help on Prediction models in SPOT...
spotPredictCoForrester
                        Meta Model Interface: Forrester's Co-Kriging
spotPredictDace         Meta Model Interface: DACE Kriging
spotPredictDice         Meta Model Interface: Dice Kriging
spotPredictEarth        Meta Model Interface: Multivariate Adaptive
                        Regression Spline
spotPredictEsvm         Meta Model Interface: Support Vector Machine
spotPredictForrester    Meta Model Interface: Forrester's Kriging
spotPredictGausspr      Meta Model Interface: Gaussian Processes
spotPredictKrig         Meta Model Interface: Fields Kriging
spotPredictKsvm         Meta Model Interface: Support Vector Machine
spotPredictLm           Meta Model Interface: Linear Model
spotPredictLmFactor     Meta Model Interface: Linear model with factors
                        for SPOT
spotPredictMCO          Meta Model Interface: Multi Criteria Modeling
spotPredictMLP          Meta Model Interface: Multi-layer Perceptron
spotPredictMlegp        Meta Model Interface: Maximum Likelihood
                        Estimation for Gaussian Processes, Kriging
spotPredictQrnn         Meta Model Interface: Quantile Regression
                        Neural Network
spotPredictRandomForest
                        Meta Model Interface: Random Forest
spotPredictRandomForestMlegp
                        Meta Model Interface: Random Forest combined
                        with Mlegp
spotPredictTgp          Meta Model Interface: Treed Gaussian Processes
spotPredictTree         Meta Model Interface: Tree
spotROI                 Region Of Interest Constructor
spotReadBstFile         Read .bst File
spotReadRoi             Spot Read ROI
spotReport3d            3d Plot of Meta Model - Report Function
spotReportContour       Model Contour Plot - Report Function
spotReportDefault       Default Report
spotReportEarth         Earth Report
spotReportMAMP          MAMP Model Report
spotReportMetaDefault   Default Report for Meta Runs
spotReportSAMP          SAMP Model Report
spotReportSens          Sensitivity Report
spotSExI2d              S-metric Expected Improvement SExI Infill
                        Criterion
spotSelectionCriteria   Model selection and error estimation
spotSmsEmoa             SMS-EMOA: S-Metric-Selection Evolutionary
                        Multi-objective Optimization Algorithm
spotSmsEmoaKriging      SMS-EMOA: S-Metric-Selection Evolutionary
                        Multi-objective Optimization Algorithm
spotStepAutoOpt         SPOT Step Auto Opt
spotStepInitial         SPOT Step: Initialize (First SPOT- Step)
spotStepMetaOpt         SPOT Step Meta
spotStepReport          SPOT Step Report
spotStepRunAlg          SPOT Step Algorithm Call
spotStepSequential      SPOT Step Sequential
spotSurf3d              spotSurf3d
spotSurfContour         spotSurfContour
spotWriteAroi           Spot Write Aroi
