Graphical models in their modern form have been around for nearly a quarter of a century. Various computer programs for inference in graphical models have been developed over that period. Some examples of free software programs are BUGS (Thomas 1994), CoCo (Badsberg2001), Digram (Klein, Keiding, and Kreiner 1995), MIM (Edwards 2000), and Tetrad (Glymour, Scheines, Spirtes, and Kelley 1987). The gR initiative (Lauritzen 2002) aims at making graphical models available in R (R Development Core Team 2006). A small grant from the Danish Science Foundation supported this initiative. We will summarize the results of the initiative so far. Specifically we will illustrate some of the R packages for graphical modelling currently on CRAN and discuss...
Publication de référence: Christophe Giraud, Sylvie Huet, Nicolas Verzelem.(2009). Graph selection w...
The R software (R Core Development Team, 2012) is an open-source statistical software that allows da...
JAGS is a program for Bayesian Graphical modelling which aims for compatibility with classic BUGS. T...
A graphical model is a class of statistical models that can be represented by a graph which can be u...
Graphical models in their modern form have been around since the late 1970s and appear today in many...
We have developed a package, called , consisting of a number of classes and associated methods to su...
The gRbase package is intended to set the framework for computer packages for data analysis using gr...
The mimR package (version 1.1.1) for graphical modelling in R is introduced. We present some facilit...
Contains fulltext : 58959.pdf (publisher's version ) (Open Access)'A graphical mod...
The mimR package for graphical modelling in R is introduced. We present some facilities of mimR, nam...
The idea of graphical models is to use the language of graph theory to unify different classes of us...
The R package BGGM provides tools for making Bayesian inference in Gaussian graphical models
The graphical modeling was performed using the R packages “corpcor” [26] and “qgraph” [27].</p
This richly illustrated book describes the use of interactive and dynamic graphics as part of multid...
This contemporary presentation of statistical methods features extensive use of graphical displays f...
Publication de référence: Christophe Giraud, Sylvie Huet, Nicolas Verzelem.(2009). Graph selection w...
The R software (R Core Development Team, 2012) is an open-source statistical software that allows da...
JAGS is a program for Bayesian Graphical modelling which aims for compatibility with classic BUGS. T...
A graphical model is a class of statistical models that can be represented by a graph which can be u...
Graphical models in their modern form have been around since the late 1970s and appear today in many...
We have developed a package, called , consisting of a number of classes and associated methods to su...
The gRbase package is intended to set the framework for computer packages for data analysis using gr...
The mimR package (version 1.1.1) for graphical modelling in R is introduced. We present some facilit...
Contains fulltext : 58959.pdf (publisher's version ) (Open Access)'A graphical mod...
The mimR package for graphical modelling in R is introduced. We present some facilities of mimR, nam...
The idea of graphical models is to use the language of graph theory to unify different classes of us...
The R package BGGM provides tools for making Bayesian inference in Gaussian graphical models
The graphical modeling was performed using the R packages “corpcor” [26] and “qgraph” [27].</p
This richly illustrated book describes the use of interactive and dynamic graphics as part of multid...
This contemporary presentation of statistical methods features extensive use of graphical displays f...
Publication de référence: Christophe Giraud, Sylvie Huet, Nicolas Verzelem.(2009). Graph selection w...
The R software (R Core Development Team, 2012) is an open-source statistical software that allows da...
JAGS is a program for Bayesian Graphical modelling which aims for compatibility with classic BUGS. T...