dmbc_check_groups {dmbc}

Auxiliary function for checking the grouping results of a fitted DMBC model.

Description

dmbc_check_groups() is an auxiliary function for checking whether the cluster membership estimates provided by the individual chains of the fitted model provided agree or not.

Usage

dmbc_check_groups(res, est = "mean")

Arguments

res

An object of class dmbc_fit_list.

est

A length-one character vector indicating the estimate type to use.

Value

A length-one logical vector, which is equal to TRUE if all simulated chains provide the same cluster membership estimates, and FALSE otherwise.

Author(s)

Sergio Venturini [e-mail]

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>.

See Also

dmbc_get_configuration() for a description of the configuration extractor function.

dmbc_fit_list for a description of a fitted DMBC model.

Examples

## Not run: 
data(simdiss, package = "dmbc")

G <- 3
p <- 2
prm.prop <- list(z = 1.5, alpha = .75)
burnin <- 2000
nsim <- 1000
seed <- 2301

set.seed(seed)

control <- list(burnin = burnin, nsim = nsim, z.prop = prm.prop[["z"]],
  alpha.prop = prm.prop[["alpha"]], random.start = TRUE, verbose = TRUE,
  nchains = 2, thin = 10, store.burnin = TRUE, threads = 2,
  parallel = "snow")
sim.dmbc <- dmbc(simdiss, p, G, control)

dmbc_check_groups(sim.dmbc)

## End(Not run)