dmbc_match_groups | R Documentation |
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.
dmbc_match_groups(res, est = "mean", ref = 1)
res |
An object of class |
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. |
An object of class dmbc_fit_list
.
Sergio Venturini sergio.venturini@unicatt.it
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>.
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.
## Not run: 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) ## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.