dmbc (version 1.0.3)

dmbc_get_configuration: Extractor function for a fitted DMBC model.

Description

dmbc_get_configuration() is an extractor function for extracting the latent configuration estimates of a fitted DMBC model.

Usage

dmbc_get_configuration(res, chain = 1, est = "mean", labels = character(0))

Value

A dmbc_config object.

Arguments

res

An object of class dmbc_fit_list.

chain

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

est

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

labels

An optional character vector with the object labels.

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_data for a description of the data format.

dmbc_fit_list for a description of the elements included in the returned object.

Examples

if (FALSE) {
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)

z <- dmbc_get_configuration(sim.dmbc, chain = 1, est = "mean")
summary(z)

library(bayesplot)
library(ggplot2)
color_scheme_set("mix-pink-blue")
graph <- plot(z, size = 2, size_lbl = 3)
graph + panel_bg(fill = "gray90", color = NA)
}