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 |