header.file<-

header.file<-,BNDataset-method

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

value


Set the header filename of a dataset (with the path to its position, as given by the user).
The header file has to contain three rows:
<ol>
<li> list of names of the variables, in the same order as in the data file;
</li>
<li> list of cardinalities of the variables, if discrete, or levels for quantization if continuous;
</li>
<li> list of status of the variables: <code>c</code> for continuous variables, <code>d</code> for discrete ones.
</li>
</ol><p></p><p>Further rows are ignored.
</p>

header.file&lt;-

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.

Francesco Sambo

bnstruct

Bayesian Network Structure Learning from Data with Missing
Values

header.file&lt;- function

set header file of a <code><a rd-options="" href="/link/BNDataset?package=bnstruct&version=1.0" data-mini-rdoc="bnstruct::BNDataset">BNDataset</a></code>.

header.file<-: set header file of a `BNDataset`.

Description

Usage

Arguments

See Also