sample.row

sample.row,BN

sample.row,BN-method

a <code><a rd-options="" href="/link/BN?package=bnstruct&version=1.0" data-mini-rdoc="bnstruct::BN">BN</a></code> or <code><a rd-options="" href="/link/InferenceEngine?package=bnstruct&version=1.0" data-mini-rdoc="bnstruct::InferenceEngine">InferenceEngine</a></code> object.


sample a row vector of values for a network.


Bayesian Network Structure Learning from Data with Missing Values.
The package implements the Silander-Myllymaki complete search,
the Max-Min Hill-climbing heuristic search, and the Structural
Expectation-Maximization algorithm. Available scoring functions are
BDeu, AIC, BIC. The package also implements methods for generating and using
bootstrap samples, imputed data, inference.

sample.row: sample a row vector of values for a network.

Description

Usage

Arguments

Value