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/> for the theoretical background of the methods.

Version: 0.2.3
Depends: R (≥ 3.2.3)
Imports: R.utils, readbitmap, pracma, magick, OpenImageR
Suggests: grid, ggplot2, scales, shiny, testthat, mockery, knitr, rmarkdown
Published: 2020-01-09
Author: Stefan Mayer ORCID iD [aut, cre]
Maintainer: Stefan Mayer <stefan at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: imagefluency results


Reference manual: imagefluency.pdf
Vignettes: introduction
Package source: imagefluency_0.2.3.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: imagefluency_0.2.3.tgz, r-oldrel: imagefluency_0.2.3.tgz
Old sources: imagefluency archive


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