PAMA
Rank Aggregation with Partition Mallows Model
Rank aggregation aims to achieve a better ranking list given multiple observations. 'PAMA' implements Partition-Mallows model for rank aggregation where the rankers' quality are different. Both Bayesian inference and Maximum likelihood estimation (MLE) are provided. It can handle partial list as well. When covariates information is available, this package can make inference by incorporating the covariate information. More information can be found in the paper "Integrated Partition-Mallows Model and Its Inference for Rank Aggregation".
- Version1.2.0
- R version≥ 3.1.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release05/06/2021
Documentation
Team
Wanchuang Zhu
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- Depends1 package
- Imports6 packages
- Suggests2 packages
- Linking To1 package