dmbc_config-class {dmbc} | R Documentation |

## An S4 class to represent the latent configuration estimate for a DMBC model.

### Description

An S4 class to represent the the latent configuration estimate for a DMBC
model.

### Slots

`Z.est`

An array containing the estimate of the latent
configuration for a DMBC model.

`Z.sd`

An array containing the standard deviation of the latent
configuration for a DMBC model.

`cluster`

A numeric vector providing the estimated group
membership for the *S* subjects in the data.

`est`

A length-one character vector providing the estimate type
returned in `Z.est`

. Possible values are `mean`

(posterior
mean), `median`

(posterior median), `ml`

(maximum likelihood)
and `map`

(maximum-a-posteriori).

`n`

A length-one numeric vector providing the number of objects.

`p`

A length-one numeric vector providing the number of latent
dimensions.

`S`

A length-one numeric vector providing the number of subjects.

`G`

A length-one numeric vector providing the number of clusters.

`family`

An object of class `list`

; named list with
elements representing the parameter estimates corresponding to different
values of *p* and *G*.

`chain`

A length-one numeric vector representing the ID of
the MCMC chain used to compute the estimates.

`labels`

A character vector for the (optional) strings to use
in the plots for labeling the objects.

### References

Venturini, S., Piccarreta, R. (2021), "A Bayesian Approach for Model-Based
Clustering of Several Binary Dissimilarity Matrices: the dmbc
Package in `R`

", Journal of Statistical Software, 100, 16, 1–35, <10.18637/jss.v100.i16>.

### Examples

```
showClass("dmbc_config")
```

[Package

*dmbc* version 1.0.1

Index]