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| s2dverification-package | Prediction Model Score |
| ACC | Computes Anomaly Correlation Coefficient (Spatial Correlation) |
| Alpha | Estimates AutoCorrelation At Lag 1 following Guemas et al, BAMS, 2013b |
| Ano | Computes Forecast or Observed Anomalies |
| Ano_CrossValid | Computes Anomalies in Cross-Validation Mode |
| Clim | Computes Per-pair/Kharin/FALSEuckar Climatologies |
| ColorBar | Draws Color Bar |
| Consist_Trend | Computes Trends Using Only Model Data For Which Observations Are Available |
| Corr | Computes Correlation Skill Measure (Temporal Correlation Along Start Dates) |
| 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 A Matrix |
| LeapYear | Checks Whether A Year Is Leap Year |
| Load | Loads Experimental And Observational Data |
| Mean1Dim | Averages A Matrix Along A Dimension |
| MeanListDim | Averages A Matrix Along Various Dimensions |
| 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 |
| PlotClim | Plots Climatologies |
| PlotEquiMap | Maps A Two-Dimensional Variable On A Cylindrical Equidistant Projection |
| PlotSection | Plots A Vertical Section |
| PlotVsLTime | Plots A Score Along The Forecast Time With Its Confidence Interval |
| RatioRMS | Computes The Ratio Between The RMSE Scores of 2 Experiments. |
| RatioSDRMS | Computes The Ratio Between the Ensemble Spread and the RMSE of the Ensemble Mean |
| Regression | Computes The Regression Of A Matrix On Another Along A Dimension |
| RMS | Computes Root Mean Square Error Skill Measure |
| RMSSS | Computes Root Mean Square Skill Score |
| s2dverification | Prediction Model Score |
| 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 |
| Season | Computes Seasonal Means |
| SelIndices | Slices A Matrix Along A Dimension |
| Smoothing | Smoothes A Matrix Along A Dimension |
| Spectrum | Estimates Frequency Spectrum |
| Spread | Computes InterQuartile Range, Maximum-Minimum, Standard Deviation and Median Absolute Deviation of the Ensemble Members |
| Trend | Computes Trends |