AdamontQQCorr           AdamontQQCorr computes quantile-quantile
                        correction of seasonal or decadal forecast data
                        using weather types
Analogs                 Analogs based on large scale fields.
AreaWeighted            Calculate the spatial area-weighted average of
                        multidimensional arrays.
BEI_EMWeighting         Computing the weighted ensemble means for SFSs.
BEI_PDFBest             Computing the Best Index PDFs combining Index
                        PDFs from two SFSs
BEI_ProbsWeighting      Computing the weighted tercile probabilities
                        for SFSs.
BEI_TercilesWeighting   Computing the weighted terciles for SFSs.
BEI_Weights             Computing the weights for SFSs using the Best
                        Index PDFs.
BiasCorrection          Bias Correction based on the mean and standard
                        deviation adjustment
BindDim                 Bind two arrays by a specified named dimension
CST_AdamontAnalog       CST_AdamontAnalog finds analogous data in the
                        reference dataset to experiment data based on
                        weather types
CST_AdamontQQCorr       CST_AdamontQQCorr computes quantile-quantile
                        correction of seasonal or decadal forecast data
                        using weather types
CST_Analogs             Downscaling using Analogs based on large scale
                        fields.
CST_AnalogsPredictors   AEMET Downscaling Precipitation and maximum and
                        minimum temperature downscaling method based on
                        analogs: synoptic situations and significant
                        predictors.
CST_Anomaly             Anomalies relative to a climatology along
                        selected dimension with or without
                        cross-validation
CST_AreaWeighted        Calculate the spatial area-weighted average of
                        multidimensional arrays.
CST_BEI_Weighting       Weighting SFSs of a CSTools object.
CST_BiasCorrection      Bias Correction based on the mean and standard
                        deviation adjustment
CST_BindDim             Bind two objects of class s2dv_cube
CST_Calibration         Forecast Calibration
CST_CategoricalEnsCombination
                        Make categorical forecast based on a
                        multi-model forecast with potential for
                        calibrate
CST_ChangeDimNames      Change the name of one or more dimensions for
                        an object of class s2dv_cube
CST_DynBiasCorrection   Performing a Bias Correction conditioned by the
                        dynamical properties of the data.
CST_EnsClustering       Ensemble clustering
CST_InsertDim           Add a named dimension to an object of class
                        s2dv_cube
CST_Load                CSTools Data Retreival Function
CST_MergeDims           Function to Merge Dimensions
CST_MultiEOF            EOF analysis of multiple variables
CST_MultiMetric         Multiple Metrics applied in Multiple Model
                        Anomalies
CST_MultivarRMSE        Multivariate Root Mean Square Error (RMSE)
CST_ProxiesAttractor    Computing two dinamical proxies of the
                        attractor in s2dv_cube.
CST_QuantileMapping     Quantile Mapping for seasonal or decadal
                        forecast data
CST_RFSlope             RainFARM spectral slopes from a CSTools object
CST_RFTemp              Temperature downscaling of a CSTools object
                        using lapse rate correction or a reference
                        field
CST_RFWeights           Compute climatological weights for RainFARM
                        stochastic precipitation downscaling
CST_RainFARM            RainFARM stochastic precipitation downscaling
                        of a CSTools object
CST_RegimesAssign       Function for matching a field of anomalies with
                        a set of maps used as a reference (e.g.
                        clusters obtained from the WeatherRegime
                        function)
CST_SaveExp             Save objects of class 's2dv_cube' to data in
                        NetCDF format
CST_SplitDim            Function to Split Dimension
CST_Start               CSTools data retrieval function using Start
CST_Subset              Subset an object of class s2dv_cube
CST_Summary             Generate a Summary of the data and metadata in
                        the s2dv_cube object
CST_WeatherRegimes      Function for Calculating the Cluster analysis
Calibration             Forecast Calibration
CategoricalEnsCombination
                        Make categorical forecast based on a
                        multi-model forecast with potential for
                        calibrate
DynBiasCorrection       Performing a Bias Correction conditioned by the
                        dynamical properties of the data.
EnsClustering           Ensemble clustering
EvalTrainIndices        Generate Training and Evaluation Indices for
                        Cross-Validation
MergeDims               Function to Split Dimension
MultiEOF                EOF analysis of multiple variables starting
                        from an array (reduced version)
MultiMetric             Multiple Metrics applied in Multiple Model
                        Anomalies
PDFIndexHind            Computing the Index PDFs for a dataset of SFSs
                        for a hindcats period.
PlotCombinedMap         Plot Multiple Lon-Lat Variables In a Single Map
                        According to a Decision Function
PlotForecastPDF         Plot one or multiple ensemble forecast pdfs for
                        the same event
PlotMostLikelyQuantileMap
                        Plot Maps of Most Likely Quantiles
PlotPDFsOLE             Plotting two probability density gaussian
                        functions and the optimal linear estimation
                        (OLE) as result of combining them.
PlotTriangles4Categories
                        Function to convert any 3-d numerical array to
                        a grid of coloured triangles.
PlotWeeklyClim          Plots the observed weekly means and climatology
                        of a timeseries data
Predictability          Computing scores of predictability using two
                        dynamical proxies based on dynamical systems
                        theory.
ProxiesAttractor        Computing two dinamical proxies of the
                        attractor.
QuantileMapping         Quantile Mapping for seasonal or decadal
                        forecast data
RFSlope                 RainFARM spectral slopes from an array (reduced
                        version)
RFTemp                  Temperature downscaling of a CSTools object
                        using lapse rate correction (reduced version)
RF_Weights              Compute climatological weights for RainFARM
                        stochastic precipitation downscaling
RainFARM                RainFARM stochastic precipitation downscaling
                        (reduced version)
RegimesAssign           Function for matching a field of anomalies with
                        a set of maps used as a reference (e.g.
                        clusters obtained from the WeatherRegime
                        function).
SaveExp                 Save a multidimensional array with metadata to
                        data in NetCDF format
SplitDim                Function to Split Dimension
WeatherRegime           Function for Calculating the Cluster analysis
as.s2dv_cube            Conversion of 'startR_array' or 'list' objects
                        to 's2dv_cube'
lonlat_prec             Sample Of Experimental Precipitation Data In
                        Function Of Longitudes And Latitudes
lonlat_prec_st          Sample Of Experimental Precipitation Data In
                        Function Of Longitudes And Latitudes with Start
lonlat_temp             Sample Of Experimental And Observational
                        Climate Data In Function Of Longitudes And
                        Latitudes
lonlat_temp_st          Sample Of Experimental And Observational
                        Climate Data In Function Of Longitudes And
                        Latitudes with Start
print.s2dv_cube         Print method for s2dv_cube objects
s2dv_cube               Creation of a 's2dv_cube' object
training_analogs        AEMET Training Training method
                        (pre-downscaling) based on analogs: synoptic
                        situations and significant predictors.
