createbnFromData

data

seed

debug

<p>The <code>createbnFromData</code> creates a Bayesian network from the datafile that
is supplied. The <code>$x</code> parameter of the datafile should contain the
actual data, while the $N component should contain the observation lengths.</p>

internal

Asymmetric hidden Markov model (HMM-A) learning.
HMM-As are similar to regular HMMs, but use Bayesian Networks (BNs) in
their emission distribution. The HMM-As can therefore offer more problem
insight [Bueno et al. 2017, <doi:10.1016/j.ijar.2017.05.011>].

Arjen Hommersom

hmma

Constructs Asymmetric Hidden Markov Models

Marcos L.P Bueno

Joop Thibaudier

Marco Scutari

Robert Ness

Robert Gentleman and Ross Ihaka 

The R Development Core Team 

The R Foundation 

createbnFromData function

Creates a Bayesian network from a datafile — createbnFromData

Creates a Bayesian network from a datafile

createbnFromData: Creates a Bayesian network from a datafile

Description

Usage

Arguments

Details