Feature Allocation Neighborhood Greedy Search Algorithm
Overview
A neighborhood-based, greedy search algorithm is performed to estimate a feature allocation by minimizing the expected loss based on posterior samples from the feature allocation distribution. The method is described in Dahl, Johnson, and Andros (2023) "Comparison and Bayesian Estimation of Feature Allocations" doi:10.1080/10618600.2023.2204136.
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- 0.2.25Latest
- RR 4.6.0 released · 2026-04-24
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- 0.1.62022-06-27
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Package metadata
- First published
- 2022-06-27
- Total releases
- 10 / 4 yrs
- License
- MIT + file LICENSE | Apache License 2.0 OSI
- Minimum R
- ≥ 4.3.0
- Bundled data
- 2.7 KB / 1 file
- Download size
- 1.8 MB
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