[R-es] implementacion de TAN en R

Carlos Ortega
Sun, 02 Jan 2011 16:52:24 -0000

Hola,

He visto que TAN es una implementación propia de Weka para el uso de
"Bayesian Networks".
En R, existen diferentes librerías para este propósito:

bnlearn
<http://cran.at.r-project.org/web/packages/bnlearn/index.html>Bayesian
network structure learning
catnet
<http://cran.at.r-project.org/web/packages/catnet/index.html>Categorical
Bayesian Network Inference
mugnet
<http://cran.at.r-project.org/web/packages/mugnet/index.html>Mixture
of Gaussian Bayesian Network Model
deal <http://cran.at.r-project.org/web/packages/deal/index.html>Learning
Bayesian Networks with Mixed Variables
ebdbNet
<http://cran.at.r-project.org/web/packages/ebdbNet/index.html>Empirical
Bayes Estimation of Dynamic Bayesian Networks
G1DBN <http://cran.at.r-project.org/web/packages/G1DBN/index.html>A
package
performing Dynamic Bayesian Network inference


Saludos,
Carlos Ortega.
www.qualityexcellence.es
www.datanalytics.com/blog

2011/1/2 Ainara Otamendi Tolosa <aolarreta@gmail.com>

> Hola,
>
> Alguien sabe si en R esta implementado el algoritmo TAN? Hasta ahora he
> estado utilizando WEKA y soy nueva en R. Me gustaria saber si esta
> implementado TAN o como podria comenzar a implementar TAN en R sino.
>
> Muchas gracias
>
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>
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