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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling source/ R- | imagefluency_1.0.0.tar.gz |
2.3 MiB |
1.0.0 |
rolling linux/jammy R-4.5 | imagefluency_1.0.0.tar.gz |
2.0 MiB |
1.0.0 |
rolling linux/noble R-4.5 | imagefluency_1.0.0.tar.gz |
2.0 MiB |
1.0.0 |
latest source/ R- | imagefluency_1.0.0.tar.gz |
2.3 MiB |
1.0.0 |
latest linux/jammy R-4.5 | imagefluency_1.0.0.tar.gz |
2.0 MiB |
1.0.0 |
latest linux/noble R-4.5 | imagefluency_1.0.0.tar.gz |
2.0 MiB |
1.0.0 |
2026-04-26 source/ R- | imagefluency_1.0.0.tar.gz |
2.3 MiB |
1.0.0 |
2026-04-23 source/ R- | imagefluency_1.0.0.tar.gz |
2.3 MiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | imagefluency_1.0.0.zip |
2.0 MiB |
0.2.5 |
2025-04-20 source/ R- | imagefluency_0.2.5.tar.gz |
751.3 KiB |