Package: imagefluency 1.0.1

Stefan Mayer

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.

Authors:Stefan Mayer [aut, cre]

imagefluency_1.0.1.tar.gz
imagefluency_1.0.1.zip(r-4.7)imagefluency_1.0.1.zip(r-4.6)imagefluency_1.0.1.zip(r-4.5)
imagefluency_1.0.1.tgz(r-4.6-any)imagefluency_1.0.1.tgz(r-4.5-any)
imagefluency_1.0.1.tar.gz(r-4.7-any)imagefluency_1.0.1.tar.gz(r-4.6-any)
imagefluency_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
imagefluency/json (API)
NEWS

# Install 'imagefluency' in R:
install.packages('imagefluency', repos = c('https://stm.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/stm/imagefluency/issues

Pkgdown/docs site:https://imagefluency.com

On CRAN:

Conda:

fluencyimage-analysisimage-analytics

5.16 score 12 stars 9 scripts 1.2k downloads 10 exports 43 dependencies

Last updated from:3b4a6ffb95. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK143
source / vignettesOK287
linux-release-x86_64OK150
macos-release-arm64OK108
macos-oldrel-arm64OK94
windows-develOK98
windows-releaseOK89
windows-oldrelOK76
wasm-releaseOK128

Exports:img_complexityimg_contrastimg_readimg_self_similarityimg_simplicityimg_symmetryimg_typicalityrgb2grayrotate90run_imagefluency

Dependencies:base64encbmpbslibcachemclicommonmarkcurldigestfastmapfontawesomefsgluehtmltoolshttpuvjpegjquerylibjsonlitelaterlifecyclemagickmagrittrmemoisemimeOpenImageRotelpngpracmapromisesR.methodsS3R.ooR.utilsR6rappdirsRcppRcppArmadilloreadbitmaprlangsassshinysourcetoolstiffwithrxtable

Getting started

Rendered fromgetting-started.Rmdusingknitr::rmarkdownon Jun 03 2026.

Last update: 2026-03-31
Started: 2021-10-27