Type: Package
Package: innsight
Title: Get the Insights of Your Neural Network
Version: 0.3.2
Authors@R: c(
    person("Niklas", "Koenen", , "niklas.koenen@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-4623-8271")),
    person("Raphael", "Baudeu", , "raphael.baudeu@gmail.com", role = "ctb")
  )
Description: Interpretation methods for analyzing the behavior and individual
    predictions of modern neural networks in a three-step procedure: Converting 
    the model, running the interpretation method, and visualizing the results. 
    Implemented methods are, e.g., 'Connection Weights' described by Olden et al. (2004)
    <doi:10.1016/j.ecolmodel.2004.03.013>, layer-wise relevance
    propagation ('LRP') described by Bach et al. (2015)
    <doi:10.1371/journal.pone.0130140>, deep learning important features
    ('DeepLIFT') described by Shrikumar et al.  (2017) <doi:10.48550/arXiv.1704.02685>
    and gradient-based methods like 'SmoothGrad' described by Smilkov et
    al. (2017) <doi:10.48550/arXiv.1706.03825>, 'Gradient x Input' 
    or 'Vanilla Gradient'.
    Details can be found in the accompanying scientific paper: Koenen & Wright 
    (2024, Journal of Statistical Software, <doi:10.18637/jss.v111.i08>).
License: MIT + file LICENSE
URL: https://bips-hb.github.io/innsight/,
        https://github.com/bips-hb/innsight/
BugReports: https://github.com/bips-hb/innsight/issues/
Depends: R (>= 3.5.0)
Imports: checkmate, cli, ggplot2, methods, R6, torch
Suggests: covr, fastshap, GGally, grid, gridExtra, gtable, keras,
        knitr, lime, luz, neuralnet, palmerpenguins, plotly, rmarkdown,
        ranger, spelling, tensorflow, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.2.3
Collate: 'AgnosticMethods.R' 'AgnosticWrapper.R' 'ConnectionWeights.R'
        'Convert_keras.R' 'Convert_neuralnet.R' 'Convert_torch.R'
        'ConvertedModel.R' 'Converter.R' 'DeepLift.R' 'GradienBased.R'
        'InterpretingLayer.R' 'InterpretingMethod.R' 'LRP.R'
        'Layer_conv1d.R' 'Layer_conv2d.R' 'Layer_dense.R'
        'Layer_normalization.R' 'Layer_other.R' 'Layer_pooling.R'
        'innsight.R' 'utils.R' 'utils_ggplot.R' 'utils_plotly.R'
        'innsight_sugar.R' 'innsight_ggplot2.R' 'innsight_plotly.R'
NeedsCompilation: no
Packaged: 2025-03-30 15:03:28 UTC; niklas
Author: Niklas Koenen [aut, cre] (<https://orcid.org/0000-0002-4623-8271>),
  Raphael Baudeu [ctb]
Maintainer: Niklas Koenen <niklas.koenen@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-30 15:20:02 UTC
Built: R 4.4.3; ; 2025-11-12 03:41:12 UTC; windows
