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 |