Factual package intelligence from PyPI
RADD (Race Against Drift-Diffusion model) is a python package for fitting & simulating cognitive models of reinforcement learning and decision-making
pip install radd
PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.8.2>=0.16.1>=1.4.3>=0.5.1>=0.15.1>=0.9.1>=0.17.1>=3.9.3>=0.30.1RADD publishes 1 wheel and 1 source archive for version 0.5.5. Wheel platform tags: any.
Declared Python classifiers: 2.7, 3.2, 3.4, 3.6.
PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 40 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .