BNSamplerPT: Undocumented.

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

Description

method description

Usage

  BNSamplerPT(data, initial, prior, return = "network",
    logScoreFUN = logScoreMultDirFUN(),
    logScoreParameters = list(hyperparameters = "bdeu"),
    constraint = NULL, modejumping = F, verbose = F,
    keepTape = F, temp = 1,
    cache = new.env(hash = T, size = 10000L))

Arguments

data	...
initial	...
prior	...
return	...
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.
logScoreParameters	...
constraint	...
modejumping	...
verbose	...
keepTape	...
temp	...
cache	...

See Also

drawPT. BNSampler, BNSamplerMJ, BNGibbsSampler, BNSamplerBigFlips, BNSamplerGrzeg

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