Package: NeuralSens
Version: 0.0.5
Title: Sensitivity Analysis of Neural Networks
Date: 2019-07-11
Description: Analysis functions to quantify inputs importance in neural network models. 
  Functions are available for calculating and plotting the inputs importance and obtaining 
  the activation function of each neuron layer and its derivatives. The importance of a given 
  input is defined as the distribution of the derivatives of the output with respect to that 
  input in each training data point.
Author: José Portela González [aut],
  Antonio Muñoz San Roque [aut],
  Jaime Pizarroso Gonzalo [ctb, cre]
Maintainer: Jaime Pizarroso Gonzalo <jpizarroso@alu.comillas.edu>
Imports: ggplot2, gridExtra, NeuralNetTools, reshape2, caret,
        fastDummies, stringr
Suggests: h2o, neural, RSNNS, nnet, neuralnet
RoxygenNote: 6.1.1
NeedsCompilation: no
URL: https://github.com/JaiPizGon/NeuralSens
BugReports: https://github.com/JaiPizGon/NeuralSens/issues
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Authors@R: c(
    person(given = "José", family = "Portela González", 
      email = "Jose.Portela@iit.comillas.edu", role = "aut"),
	person(given = "Antonio", family = "Muñoz San Roque", 
      email = "antonio.munoz@iit.comillas.edu", role = "aut"),
    person(given = "Jaime", family = "Pizarroso Gonzalo", 
      email = "jpizarroso@alu.comillas.edu", role = c("ctb", "cre"))
    )
Packaged: 2019-07-11 15:11:49 UTC; jaime
Repository: CRAN
Date/Publication: 2019-07-11 15:32:41 UTC
