dmbc_get_configuration: Extractor function for a fitted DMBC model.

In dmbc: Model Based Clustering of Binary Dissimilarity Measurements

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))

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.

Value

A dmbc_config object.

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_data for a description of the data format.

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

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)

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)

## End(Not run)

dmbc documentation built on April 26, 2022, 5:05 p.m.