R: Sensitivity Analysis of Neural Networks

# Sensitivity Analysis of Neural Networks

## Documentation for package ‘NeuralSens’ version 1.1.3

- DESCRIPTION file

## Help Pages

NeuralSens-package | NeuralSens: Sensitivity Analysis of Neural Networks
ActFunc | Activation function of neuron
AlphaSensAnalysis | Sensitivity alpha-curve associated to MLP function
AlphaSensCurve | Sensitivity alpha-curve associated to MLP function of an input variable
ChangeBootAlpha | Change significance of boot SensMLP Class
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
Der3ActFunc | Third derivative of activation function of neuron
DerActFunc | Derivative of activation function of neuron
diag3Darray | Define function to create a 'diagonal' array or get the diagonal of an array
diag3Darray<- | Define function to change the diagonal of array
diag4Darray | Define function to create a 'diagonal' array or get the diagonal of an array
diag4Darray<- | Define function to change the diagonal of array
find_critical_value | Find Critical Value
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'
kStepMAlgorithm | k-StepM Algorithm for Hypothesis Testing
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