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| ActFunc | Activation function of neuron |
| CombineSens | Sensitivity analysis plot over time of the data |
| ComputeHessMeasures | Plot sensitivities of a neural network model |
| ComputeSensMeasures | Plot sensitivities of a neural network model |
| DAILY_DEMAND_TR | Data frame with 4 variables |
| DAILY_DEMAND_TV | Data frame with 3 variables |
| Der2ActFunc | Second derivative of activation function of neuron |
| DerActFunc | Derivative of activation function of neuron |
| DerLossFunc | Derivative of loss function |
| diag3Darray | Define function to create a 'diagonal' array or get the diagonal of an array |
| diag3Darray<- | Define function to change the diagonal of array |
| HessDotPlot | Second derivatives 3D scatter or surface plot against input values |
| HessFeaturePlot | Feature sensitivity plot |
| HessianMLP | Sensitivity of MLP models |
| HessianMLP.default | Sensitivity of MLP models |
| HessianMLP.H2OMultinomialModel | Sensitivity of MLP models |
| HessianMLP.H2ORegressionModel | Sensitivity of MLP models |
| HessianMLP.list | Sensitivity of MLP models |
| HessianMLP.mlp | Sensitivity of MLP models |
| HessianMLP.nn | Sensitivity of MLP models |
| HessianMLP.nnet | Sensitivity of MLP models |
| HessianMLP.nnetar | Sensitivity of MLP models |
| HessianMLP.numeric | Sensitivity of MLP models |
| HessianMLP.train | Sensitivity of MLP models |
| HessMLP | Constructor of the HessMLP Class |
| HessToSensMLP | Convert a HessMLP to a SensMLP object |
| is.HessMLP | Check if object is of class 'HessMLP' |
| is.SensMLP | Check if object is of class 'SensMLP' |
| LossFunc | Loss function |
| NeuralSens | NeuralSens: Sensitivity Analysis of Neural Networks |
| plot.HessMLP | Plot method for the HessMLP Class |
| plot.SensMLP | Plot method for the SensMLP Class |
| PlotSensMLP | Neural network structure sensitivity plot |
| print.HessMLP | Print method for the HessMLP Class |
| print.SensMLP | Print method for the SensMLP Class |
| print.summary.HessMLP | Print method of the summary HessMLP Class |
| print.summary.SensMLP | Print method of the summary SensMLP Class |
| SensAnalysisMLP | Sensitivity of MLP models |
| SensAnalysisMLP.default | Sensitivity of MLP models |
| SensAnalysisMLP.H2OMultinomialModel | Sensitivity of MLP models |
| SensAnalysisMLP.H2ORegressionModel | Sensitivity of MLP models |
| SensAnalysisMLP.list | Sensitivity of MLP models |
| SensAnalysisMLP.mlp | Sensitivity of MLP models |
| SensAnalysisMLP.nn | Sensitivity of MLP models |
| SensAnalysisMLP.nnet | Sensitivity of MLP models |
| SensAnalysisMLP.nnetar | Sensitivity of MLP models |
| SensAnalysisMLP.numeric | Sensitivity of MLP models |
| SensAnalysisMLP.train | Sensitivity of MLP models |
| SensDotPlot | Sensitivity scatter plot against input values |
| SensFeaturePlot | Feature sensitivity plot |
| SensitivityPlots | Plot sensitivities of a neural network model |
| SensMatPlot | Plot sensitivities of a neural network model |
| SensMLP | Constructor of the SensMLP Class |
| SensTimePlot | Sensitivity analysis plot over time of the data |
| simdata | Simulated data to test the package functionalities |
| summary.HessMLP | Summary Method for the HessMLP Class |
| summary.SensMLP | Summary Method for the SensMLP Class |
| syntheticdata | List of 4 dataframes to test the functions with different variables types |