dmbc_ic-class {dmbc} | R Documentation |

## An S4 class to represent the comparison of a set of DMBC models.

### Description

An S4 class to represent the comparison of a set of DMBC models through
the dissimilarity model-based clustering information criterion (DCIC).

### Slots

`logprior`

An object of class `matrix`

providing the
log-prior values corresponding to different values of *p* and
*G*.

`logmlik`

An object of class `matrix`

providing the
marginal log-likelihood values corresponding to different values of
*p* and *G*.

`logcorrfact`

An object of class `matrix`

providing the
logarithm of the correction factors corresponding to different values of
*p* and *G*.

`DCIC`

An object of class `matrix`

providing the values
of the DCIC index corresponding to different values of *p* and
*G*.

`post.est`

An object of class `list`

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

`est`

A length-one character vector representing the estimate
type used in computing the DCIC index. Possible values are `mean`

,
`median`

, `ml`

and `map`

. See `dmbc_ic()`

for
more details about these values.

`res_last_p`

An object of class `list`

; list of
`dmbc_fit_list`

objects with the results of fitting the DMBC
models corresponding to the last value of *p*. This is needed in case
of an update of the DCIC calculations using additional *p* and/or
*G* values.

### 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_ic")
```

[Package

*dmbc* version 1.0.1

Index]