R: Gets a point estimate of the partition using posterior...

cluster_est_pear {NPflow} | R Documentation

## Gets a point estimate of the partition using posterior expected adjusted Rand index (PEAR)

### Description

Gets a point estimate of the partition using posterior expected adjusted Rand index (PEAR)

### Usage

    cluster_est_pear(c)

### Arguments

`c` | a list of vector of length `n`. `c[[j]][i]` is the cluster allocation of observation `i=1...n` at iteration `j=1...N`.

### Value

a `list`:

- `c_est`: a vector of length `n`. Point estimate of the partition

- `pear`: a vector of length `N`. `pear[j]` is the posterior expected adjusted Rand index associated to partition `c[[j]]`

- `similarity`: matrix of size `n x n`. Similarity matrix (see `similarityMat`)

- `opt_ind`: the index of the optimal partition among the MCMC iterations.

### Author(s)

Chariff Alkhassim

### References

A. Fritsch, K. Ickstadt. Improved Criteria for Clustering Based on the Posterior Similarity Matrix, in Bayesian Analysis, Vol.4 : p.367-392 (2009)

### See Also

`similarityMat` `similarityMatC`

[Package NPflow version 0.13.3 Index]