dmbc (version 0.4.0)

dmbc_check_groups: 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.

References

Venturini, S., Piccarreta, R. (2019), "A Bayesian Approach for Model-Based Clustering of Several Binary Dissimilarity Matrices: the dmbc Package in R", Technical report.

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)
# }
# NOT RUN {
# }