dmbc (version 1.0.3)

dmbc_match_groups: Auxiliary function for realigning the grouping of a fitted DMBC model.

Description

dmbc_match_groups() is an auxiliary function for realigning the cluster membership estimates provided by the individual chains of the fitted model if they do not agree.

Usage

dmbc_match_groups(res, est = "mean", ref = 1)

Value

An object of class dmbc_fit_list.

Arguments

res

An object of class dmbc_fit_list.

est

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

ref

A length-one numeric vector indicating the chain number to use as the reference.

Author

Sergio Venturini

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_check_groups() for checking the consistency of the cluster memberships across chains for a fitted DMBC model.

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

dmbc_fit_list for a description of a fitted DMBC model.

Examples

if (FALSE) {
data(simdiss, package = "dmbc")

G <- 5
p <- 3
prm.prop <- list(z = 4, alpha = 2)
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 = 6, store.burnin = TRUE, threads = 2, parallel = "snow")
sim.dmbc <- dmbc(simdiss, p, G, control)

sim.dmbc_new <- dmbc_match_groups(sim.dmbc)
}