update,dmbc_ic-method {dmbc}

Provide an update of a dmbc_ic class instance.

Description

Provide an update of a dmbc_ic class instance.

Usage

## S4 method for signature 'dmbc_ic'
update(object, pmax = NULL, Gmax = NULL, ...)

Arguments

object

An object of class dmbc_ic.

pmax

A length-one numeric vector indicating the maximum number of dimensions of the latent space to consider.

Gmax

A length-one numeric vector indicating the maximum number of cluster to consider.

...

Further arguments to pass on (currently ignored).

Value

A dmbc_ic 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() for fitting a DMBC model.

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

Examples

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

pmax <- 2
Gmax <- 2
prm.prop <- list(z = 1.5, alpha = .75)
burnin <- 2000
nsim <- 1000
seed <- 1809

set.seed(seed)

control <- list(burnin = burnin, nsim = nsim, z.prop = prm.prop[["z"]],
  alpha.prop = prm.prop[["alpha"]], random.start = TRUE, verbose = TRUE,
  thin = 10, store.burnin = TRUE)
sim.ic <- dmbc_IC(data = simdiss, pmax = pmax, Gmax = Gmax, control = control,
  est = "mean")

pmax <- pmax + 1
Gmax <- Gmax + 2
new.ic <- update(sim.ic, pmax = pmax, Gmax = Gmax)
new.ic

# plot the results
library(bayesplot)
library(ggplot2)
color_scheme_set("mix-yellow-blue")
p <- plot(new.ic, size = c(4, 1.5))
p + panel_bg(fill = "gray90", color = NA)

## End(Not run)