The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

imagefluency: Image Statistics Based on Processing Fluency

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 <stefan at mayer-de.com>
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

Documentation:

Reference manual: imagefluency.pdf
Vignettes: getting-started

Downloads:

Package source: imagefluency_0.2.5.tar.gz
Windows binaries: r-devel: imagefluency_0.2.5.zip, r-release: imagefluency_0.2.5.zip, r-oldrel: imagefluency_0.2.5.zip
macOS binaries: r-release (arm64): imagefluency_0.2.5.tgz, r-oldrel (arm64): imagefluency_0.2.5.tgz, r-release (x86_64): imagefluency_0.2.5.tgz, r-oldrel (x86_64): imagefluency_0.2.5.tgz
Old sources: imagefluency archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=imagefluency to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.