GreedyEPL
Greedy Expected Posterior Loss
Summarises a collection of partitions into a single optimal partition. The objective function is the expected posterior loss, and the minimisation is performed through a greedy algorithm described in Rastelli, R. and Friel, N. (2017) "Optimal Bayesian estimators for latent variable cluster models" doi:10.1007/s11222-017-9786-y.
- Version1.2
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release09/02/2021
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Riccardo Rastelli
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