Relabelling MCMC Outputs of Mixture Models
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Documentation for package ‘label.switching’ version 1.8
Help Pages
| label.switching-package | Algorithms for solving the label switching problem |
| aic | Artificial Identifiability Constraints |
| compare.clust | Make all estimated clusters agree with a pivot allocation |
| dataBased | Data-based labelling |
| data_list | Simulated MCMC sample and related information |
| ecr | ECR algorithm (default version) |
| ecr.iterative.1 | ECR algorithm (iterative version 1) |
| ecr.iterative.2 | ECR algorithm (iterative version 2) |
| label.switching | Main calling function |
| lamb | Fetal lamb dataset |
| permute.mcmc | Reorder MCMC samples |
| pra | PRA algorithm |
| sjw | Probabilistic relabelling algorithm |
| stephens | Stephens' algorithm |