Work

High-dimensional Graphical Model Search with gRapHD R Package

Year: 2009

Type: preprint

Abstract: This paper presents the R package gRapHD for efficient selection of high-dimensional undirected graphical models. The package provides tools for selecting trees, forests and decomposable models minimizing information criteria such as AIC or BIC, and for displaying the independence graphs of the models. It has also some useful tools for analysing graphical structures. It supports the use of discrete, continuous, or both types of variables simultaneously.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.0909.1234

Authors: de Abreu, Gabriel C. G., Labouriau, Rodrigo, Edwards, David

Language: English

Topic: Bayesian Modeling and Causal Inference

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: European Commission

OpenAlex ID: W2950847437

Cites: 18

Cited by: 14

Related to: 10