| Name | perms JSON |
| Version |
1.23
JSON |
| download |
| home_page | None |
| Summary | Marginal Likelihood estimation via Permutation counting |
| upload_time | 2024-08-07 12:28:14 |
| maintainer | None |
| docs_url | None |
| author | Dennis Christensen, Per August Jarval Moen |
| requires_python | >=3.7 |
| license | None |
| keywords |
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| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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# perms
The perms package implements the algorithm proposed by [[1]](#1) for computing marginal likelihoods via permutation counting.
## References
<a id="1">[1]</a>
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
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