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.

Package details

AuthorStefan Mayer [aut, cre] (<https://orcid.org/0000-0003-0034-7090>)
MaintainerStefan Mayer <stefan@mayer-de.com>
LicenseGPL-3
Version0.2.3
URL https://stm.github.io/imagefluency
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("imagefluency")

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imagefluency documentation built on Jan. 9, 2020, 5:09 p.m.