SensMLP: Constructor of the SensMLP Class
In NeuralSens: Sensitivity Analysis of Neural Networks

SensMLP

R Documentation

Constructor of the SensMLP Class

Description

Create an object of SensMLP class

Usage

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.