stm/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.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.2.5
URL https://imagefluency.com https://github.com/stm/imagefluency/ https://doi.org/10.5281/zenodo.5614665
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("stm/imagefluency")
stm/imagefluency documentation built on Feb. 27, 2024, 9:29 a.m.