perms
The perms package implements the algorithm proposed by [1] for computing marginal likelihoods via permutation counting.
References
[1] Dennis Christensen. "Inference for Bayesian Nonparametric Models with Binary Response Data via Permutation Counting." Bayesian Anal. 19 (1) 293 - 318, March 2024. https://doi.org/10.1214/22-BA1353
Metadata
Release files for perms 1.23
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| perms-1.23.tar.gz | 77.9 kB | Details |
Release files / perms-1.23.tar.gz
| Download URL | perms-1.23.tar.gz |
|---|---|
| Size | 77.9 kB |
| Tags | Source |
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215c0ff096bd948e140b195807b59587924a79ffdfa7538cec6f9fe9107eac78
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twine/4.0.2 CPython/3.11.4
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