Package: cito
Type: Package
Title: Building and Training Neural Networks
Version: 1.2
Authors@R: 
    c(person(given = "Christian",
           family = "Amesöder",
           role = c("aut"),
           email = "Christian.Amesoeder@informatik.uni-regensburg.de"),
      person(given = "Maximilian",
           family = "Pichler",
           role = c("aut", "cre"),
           email = "maximilian.pichler@biologie.uni-regensburg.de",
           comment = c(ORCID = "0000-0003-2252-8327")),
      person(given = "Florian",
             family = "Hartig",
             role = "ctb",
             email = "florian.hartig@biologie.uni-regensburg.de",
             comment = c(ORCID = "0000-0002-6255-9059")),           
      person(given = "Armin",
             family = "Schenk",
             role = "ctb",
             email = "armin.schenk99@gmail.com")
           )
Description: The 'cito' package provides a user-friendly interface for
        training and interpreting deep neural networks (DNN). 'cito'
        simplifies the fitting of DNNs by supporting the familiar
        formula syntax, hyperparameter tuning under cross-validation,
        and helps to detect and handle convergence problems.  DNNs can
        be trained on CPU, GPU and MacOS GPUs. In addition, 'cito' has
        many downstream functionalities such as various explainable AI
        (xAI) metrics (e.g. variable importance, partial dependence
        plots, accumulated local effect plots, and effect estimates) to
        interpret trained DNNs. 'cito' optionally provides confidence
        intervals (and p-values) for all xAI metrics and predictions.
        At the same time, 'cito' is computationally efficient because
        it is based on the deep learning framework 'torch'. The 'torch'
        package is native to R, so no Python installation or other API
        is required for this package.
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
Imports: coro, checkmate, torch, gridExtra, parabar, abind, progress,
        cli, torchvision, tibble, lme4, rlang, reformulas
License: GPL (>= 3)
Suggests: spelling, rmarkdown, testthat, plotly, ggraph, igraph, stats,
        ggplot2, knitr
VignetteBuilder: knitr
BugReports: https://github.com/citoverse/cito/issues
URL: https://citoverse.github.io/cito/
Language: en-US
Config/pak/sysreqs: cmake make libjpeg-dev libpng-dev libtiff-dev
        libuv1-dev
Repository: https://citoverse.r-universe.dev
Date/Publication: 2026-07-03 14:59:21 UTC
RemoteUrl: https://github.com/citoverse/cito
RemoteRef: HEAD
RemoteSha: eae2d2a127d920bb9c3c7ed4bb18cf01cc8d3a6a
NeedsCompilation: no
Packaged: 2026-07-03 16:36:25 UTC; root
Author: Christian Amesöder [aut],
  Maximilian Pichler [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-2252-8327>),
  Florian Hartig [ctb] (ORCID: <https://orcid.org/0000-0002-6255-9059>),
  Armin Schenk [ctb]
Maintainer: Maximilian Pichler <maximilian.pichler@biologie.uni-regensburg.de>