ACC                     Computes Anomaly Correlation Coefficient
Alpha                   Estimates AutoCorrelation At Lag 1 following
                        Guemas et al, BAMS, 2013b
AnimateMap              Animate Maps of Forecast/Observed Values or
                        Scores Over Forecast Time
Ano                     Computes Forecast or Observed Anomalies
Ano_CrossValid          Computes Anomalies In Cross-Validation Mode
ArrayToNetCDF           Save multidimensional R arrays into NetCDF
                        files
BrierScore              Compute Brier Score And Its Decomposition And
                        Brier Skill Score
CDORemap                Interpolates arrays with longitude and latitude
                        dimensions using CDO
Clim                    Computes Bias Corrected Climatologies
Cluster                 K-means Clustering.
ColorBar                Draws a Color Bar
Composite               Computes composites.
ConfigApplyMatchingEntries
                        Apply Matching Entries To Dataset Name And
                        Variable Name To Find Related Info
ConfigEditDefinition    Add Modify Or Remove Variable Definitions In
                        Configuration
ConfigEditEntry         Add, Remove Or Edit Entries In The
                        Configuration
ConfigFileOpen          Functions To Create Open And Save Configuration
                        File
ConfigShowSimilarEntries
                        Find Similar Entries In Tables Of Datasets
ConfigShowTable         Show Configuration Tables And Definitions
Consist_Trend           Computes Trends Using Only Model Data For Which
                        Observations Are Available
Corr                    Computes the correlation coefficient between an
                        array of forecasts and their corresponding
                        observations.
EOF                     Area-Weighted Empirical Orthogonal Function
                        Analysis Using SVD
Enlarge                 Extends The Number Of Dimensions of A Matrix
Eno                     Computes Effective Sample Size With Classical
                        Method
EnoNew                  Computes Effective Sample Size Following Guemas
                        et al, BAMS, 2013b
Filter                  Filter Frequency Peaks From An Array
FitAcfCoef              Fits an AR1 AutoCorrelation Function Using the
                        Cardano Formula
FitAutocor              Fits an AR1 Autocorrelation Function Using
                        Dichotomy
GenSeries               Generates An AR1 Time Series
Histo2Hindcast          Chunks Long Simulations For Comparison With
                        Hindcasts
IniListDims             Creates A List Of Integer Ranges
InsertDim               Adds A Dimension To An Array
LeapYear                Checks Whether A Year Is Leap Year
Load                    Loads Experimental And Observational Data
Mean1Dim                Averages An Array Along A Dimension
MeanListDim             Averages An Array Along Multiple Dimensions
NAO                     Computes the North Atlantic Oscillation (NAO)
                        Index
Plot2VarsVsLTime        Plot Two Scores With Confidence Intervals In A
                        Common Plot
PlotACC                 Plot Plumes/Timeseries Of Anomaly Correlation
                        Coefficients
PlotAno                 Plot Raw Or Smoothed Anomalies
PlotBoxWhisker          Box-And-Whisker Plot of Time Series with
                        Ensemble Distribution
PlotClim                Plots Climatologies
PlotEquiMap             Maps A Two-Dimensional Variable On A
                        Cylindrical Equidistant Projection
PlotLayout              Arrange and Fill Multi-Pannel Layouts With
                        Optional Colour Bar
PlotSection             Plots A Vertical Section
PlotStereoMap           Maps A Two-Dimensional Variable On A Polar
                        Stereographic Projection
PlotVsLTime             Plots A Score Along The Forecast Time With Its
                        Confidence Interval
ProbBins                Computes Probabilistic Information of a
                        Forecast Relative to a Threshold or a Quantile.
ProjectField            Project Anomalies onto Modes of Variability
RMS                     Computes Root Mean Square Error
RMSSS                   Computes Root Mean Square Skill Score
RatioRMS                Computes the Ratio Between The RMSE of Two
                        Experiments
RatioSDRMS              Computes the ratio between the ensemble spread
                        and RMSE
Regression              Computes The Regression Of An Array On Another
                        Along A Dimension
SVD                     Single Value Decomposition (Maximum Covariance
                        Analysis)
Season                  Computes Seasonal Means
SelIndices              Slices A Matrix Along A Dimension
Smoothing               Smoothes An Array Along A Dimension
Spectrum                Estimates Frequency Spectrum
Spread                  Computes InterQuartile Range, Maximum-Minimum,
                        Standard Deviation and Median Absolute
                        Deviation of the Ensemble Members
StatSeasAtlHurr         Compute estimate of seasonal mean of Atlantic
                        hurricane activity
Subset                  Subset a Data Array
ToyModel                Synthetic forecast generator imitating seasonal
                        to decadal forecasts. The components of a
                        forecast: (1) predictabiltiy (2) forecast error
                        (3) non-stationarity and (4) ensemble
                        generation. The forecast can be computed for
                        real observations or observations generated
                        artifically.
Trend                   Computes the Trend of the Ensemble Mean
UltimateBrier           Computes Brier Scores
clim.palette            Generate Climate Color Palettes
s2dverification         Set of Common Tools for Forecast Verification
sampleDepthData         Sample of Experimental Data for Forecast
                        Verification In Function Of Latitudes And
                        Depths
sampleMap               Sample Of Observational And Experimental Data
                        For Forecast Verification In Function Of
                        Longitudes And Latitudes
sampleTimeSeries        Sample Of Observational And Experimental Data
                        For Forecast Verification As Area Averages
