DESCRIPTION

Package: imagefluency
Type: Package
Title: Image Statistics Based on Processing Fluency
Version: 0.2.5
Authors@R: person(given = "Stefan", family = "Mayer", email = "stefan@mayer-de.com",
    role = c("aut", "cre"), comment = c(ORCID = "0000-0003-0034-7090"))
Description: Get image statistics based on processing fluency theory. The
    functions provide scores for several basic aesthetic principles that
    facilitate fluent cognitive processing of images: contrast,
    complexity / simplicity, self-similarity, symmetry, and typicality.
    See Mayer & Landwehr (2018) <doi:10.1037/aca0000187> and Mayer & Landwehr
    (2018) <doi:10.31219/osf.io/gtbhw> for the theoretical background of the methods.
License: GPL-3
Encoding: UTF-8
URL: https://imagefluency.com,
    https://github.com/stm/imagefluency/,
    https://doi.org/10.5281/zenodo.5614665
BugReports: https://github.com/stm/imagefluency/issues/
Depends:
    R (>= 4.1.0)
Imports:
    R.utils,
    readbitmap,
    pracma,
    magick,
    OpenImageR
Suggests:
    grid,
    ggplot2,
    scales,
    shiny,
    testthat,
    mockery,
    knitr,
    rmarkdown,
    furrr,
    future,
    pbmcapply,
    tictoc,
    dplyr
RoxygenNote: 7.3.1
Collate: 
    'utils.R'
    'complexity.R'
    'contrast.R'
    'imagefluency-package.R'
    'imagefluencyApp.R'
    'self-similarity.R'
    'simplicity.R'
    'symmetry.R'
    'typicality.R'
VignetteBuilder: knitr