num.time.steps<-

num.time.steps<-,BN-method

num.time.steps<-,BNDataset-method

a <code><a rd-options="" href="/link/BN?package=bnstruct&version=1.0.2" data-mini-rdoc="bnstruct::BN">BN</a></code> or a <code><a rd-options="" href="/link/BNDataset?package=bnstruct&version=1.0.2" data-mini-rdoc="bnstruct::BNDataset">BNDataset</a></code> object.

value


Set the number of time steps of a dataset.


num.time.steps&lt;-

Bayesian Network Structure Learning from Data with Missing Values.
The package implements the Silander-Myllymaki complete search,
the Max-Min Parents-and-Children, the Hill-Climbing, the
Max-Min Hill-climbing heuristic searches, 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

Alberto Franzin

num.time.steps&lt;- function

a <code><a rd-options='' href='BN'>BN</a></code> or a <code><a rd-options='' href='BNDataset'>BNDataset</a></code> object.

set number of time steps of a <code><a rd-options='' href='BN'>BN</a></code> or a <code><a rd-options='' href='BNDataset'>BNDataset</a></code>.

set number of time steps of a <code><a rd-options="" href="/link/BN?package=bnstruct&version=1.0.2" data-mini-rdoc="bnstruct::BN">BN</a></code> or a <code><a rd-options="" href="/link/BNDataset?package=bnstruct&version=1.0.2" data-mini-rdoc="bnstruct::BNDataset">BNDataset</a></code>.

num.time.steps<-: set number of time steps of a `BN` or a `BNDataset`.

Description

Usage

Arguments