Package: NeuralSens
Version: 1.1.3
Title: Sensitivity Analysis of Neural Networks
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 <doi:10.18637/jss.v102.i07>.
Author: José Portela González [aut], Antonio Muñoz San Roque [aut],
        Jaime Pizarroso Gonzalo [aut, ctb, cre]
Maintainer: Jaime Pizarroso Gonzalo <jpizarroso@comillas.edu>
Imports: ggplot2, gridExtra, NeuralNetTools, reshape2, caret,
        fastDummies, stringr, Hmisc, ggforce, scales, ggnewscale,
        magrittr, ggrepel, ggbreak, dplyr
Suggests: h2o, RSNNS, nnet, neuralnet, plotly, e1071
RoxygenNote: 7.3.1
NeedsCompilation: no
URL: https://github.com/JaiPizGon/NeuralSens,
        https://jaipizgon.github.io/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@comillas.edu", role = c("aut","ctb", "cre"))
    )
Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev make
        libicu-dev libuv1-dev
Repository: https://jaipizgon.r-universe.dev
Date/Publication: 2024-09-26 12:21:25 UTC
RemoteUrl: https://github.com/jaipizgon/neuralsens
RemoteRef: HEAD
RemoteSha: 63fbf3b5fc4418c56c7ea0a191c920a003ab20c1
RemoteSubdir: R
Packaged: 2026-10-09 08:29:52 UTC; root