speedyibl: Python Implementation of Instance-Based Learning Theory
Nguyen, T.N., Phan, D.N. & Gonzalez, C. SpeedyIBL: A comprehensive, precise, and fast implementation of instance-based learning theory. Behav Res (2022). <a href =”https://doi.org/10.3758/s13428-022-01848-x”>https://doi.org/10.3758/s13428-022-01848-x<a>
The detailed guideline on how to use it is available at <a href=”https://github.com/DDM-Lab/SpeedyIBL”>https://github.com/DDM-Lab/SpeedyIBL</a>
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Metadata
4 maintainers
Release files for speedyibl 0.2.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| speedyibl-0.2.3.tar.gz | 3.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| speedyibl-0.2.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.1 kB
Release files / speedyibl-0.2.3.tar.gz
| Download URL | speedyibl-0.2.3.tar.gz |
|---|---|
| Size | 3.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / speedyibl-0.2.3-py3-none-any.whl
| Download URL | speedyibl-0.2.3-py3-none-any.whl |
|---|---|
| Size | 13.3 kB |
| Tags | Python 3 |
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