bnpost: BN Exact Posterior.

In rjbgoudie/structmcmc: Structural inference for Bayesian Networks and Variable Selection.

Description

method description

Usage

  bnpost(bnspace, logScore, data,
    logScoreFUN = logScoreMultDir)

Arguments

bnspace	...
logScore	...
data	...
logScoreFUN	A list of four elements: offline A function that computes the logScore of a Bayesian Network online A function that incrementally computes the logScore of a Bayesian Network local A function that computes the local logScore of a Bayesian Network prepare A function that prepares the data, and any further pre-computation required by the logScore functions. For Multinomial-Dirichlet models, logScoreMultDirFUN returns the appropriate list; for Normal models with Zellner g-priors, logScoreNormalFUN returns the appropriate list.

See Also

bnpostmcmc, top.bnpost, map.bnpost, gp.bnpost, entropy.bnpost, tp.bnpost, eht.bnpost

Examples

x1 <- factor(c(1, 1, 0, 1))
x2 <- factor(c(0, 1, 0, 1))
dat <- data.frame(x1 = x1, x2 = x2)

bnspace <- enumerateBNSpace(2)
lsmd <- logScoreMultDir(bnspace, data = dat, hyperparameters = "bdeu")
post <- bnpost(bnspace = bnspace, logScore = lsmd, data = dat)

gp(post)
ep(post)

rjbgoudie/structmcmc documentation built on Nov. 3, 2020, 3:41 a.m.