SensMLP function

Constructor of the SensMLP Class

Create an object of SensMLP class

SensMLP(
  sens = list(),
  raw_sens = list(),
  mlp_struct = numeric(),
  trData = data.frame(),
  coefnames = character(),
  output_name = character(),
  cv = NULL,
  boot = NULL,
  boot.alpha = NULL
)

Arguments

• sens: list of sensitivity measures, one data.frame per output neuron
• raw_sens: list of sensitivities, one matrix per output neuron
• mlp_struct: numeric vector describing the structur of the MLP model
• trData: data.frame with the data used to calculate the sensitivities
• coefnames: character vector with the name of the predictor(s)
• output_name: character vector with the name of the output(s)
• cv: list list with critical values of significance for std and mean square.
• boot: array bootstrapped sensitivity measures.
• boot.alpha: array significance level. Defaults to NULL. Only available for analyzed caret::train models.

Returns

SensMLP object

References

Pizarroso J, Portela J, Muñoz A (2022). NeuralSens: Sensitivity Analysis of Neural Networks. Journal of Statistical Software, 102(7), 1-36.