doi:10.1037/aca0000187> and Mayer & Landwehr (2018) <doi:10.31219/osf.io/gtbhw> for the theoretical background of the methods.">

imagefluency: Image Statistics Based on Processing Fluency (original) (raw)

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.

Version: 0.2.5
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
Published: 2024-02-22
DOI: 10.32614/CRAN.package.imagefluency
Author: Stefan Mayer ORCID iD [aut, cre]
Maintainer: Stefan Mayer
BugReports: https://github.com/stm/imagefluency/issues/
License: GPL-3
URL: https://imagefluency.com, https://github.com/stm/imagefluency/,https://doi.org/10.5281/zenodo.5614665
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: imagefluency results

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