Man pages for SWS-Methodology/faoswsImputation
Package to perform ensemble imputation for various FAO domains
| addNoDataModels | Add Ensemble Weights for Sets of the Data without Valid... |
| allDefaultModels | Returns all default models |
| buildEnsembleModel | Build Ensemble Model |
| checkEnsembleModel | Check Ensemble Model |
| computeEnsemble | Function to combine the ensembles |
| computeEnsembleFit | Function to compute the fits of all the component models |
| computeEnsembleWeight | Function to compute the weights of the ensemble models |
| computeErrorLOOCV | LOOCV Error Rate |
| computeErrorRate | Function to compute the error of different model fits |
| computeLoocvFits | Function to compute the fitted values from Leave One Out... |
| defaultArima | The default ARIMA model for the ensemble model. |
| defaultExp | The default exponential model for the ensemble model. |
| defaultGlobalMean | Global Mean Model for Imputation |
| defaultGlobalMedian | Global Median Model for Imputation |
| defaultImputationParameters | Default Imputation Parameters |
| defaultLm | The default linear regression model for the ensemble model. |
| defaultLoess | The default LOESS model for the ensemble model. |
| defaultLogistic | Default Logistic Model for the Ensemble. |
| defaultMars | The default MARS model for the ensemble model. |
| defaultMean | The default mean model for the ensemble model. |
| defaultMedian | The default median model for the ensemble model. |
| defaultMixedModel | This function imputes missing values with a linear mixed... |
| defaultMixedModelOptimized | Optimized Mixed Model for Imputation |
| defaultMovingAverage | The default moving average model. |
| defaultNaive | The default naive model for the ensemble model. |
| defaultSpline | The default spline model for the ensemble model. |
| ensembleImpute | Function to perform ensemble imputation |
| ensembleModel-class | Ensemble Model Class |
| ensureImputationInputs | Ensure Imputation Inputs |
| extendSimpleModel | Extend Simple Model |
| faoswsImputation-package | Package to perform ensemble imputation for various FAO... |
| getCovariates | Get Covariates |
| getDefaultRange | Default range for ensemble models |
| getInverseWeights | Get Ensemble Weights via Inverse Errors |
| getObservedExtrapolationRange | Get Observed Extrapolation Range |
| getStackingWeights | Get Ensemble Weights via Stacking |
| getWeightMatrix | Get Weight Matrix |
| imputeSingleObservation | Make Cross-Validation Groups |
| imputeVariable | Function to impute production or yield |
| logisticGlm | Helper function for defaultLogistic |
| logisticNls | Helper function for defaultLogistic |
| logisticNlsIntercept | Helper function for defaultLogistic |
| makeCvGroup | Make Cross-Validation Groups |
| mixedModelFixedDf | Mixed Model for Imputation with Fixed DF |
| okra | Example data for the documentations. |
| plotEnsemble | Plot Ensemble and Model Fits |
| reassignGlobalVariable | Reassign Global Variable |
| sampleEqually | Helper function for makeCvGroup |
| weightMatrixToVector | Convert the weights matrix to a vector |
| weightVectorToMatrix | Convert the weights vector to a matrix |
