generate_random_model: Generate random Huesler-Reiss Models

In graphicalExtremes: Statistical Methodology for Graphical Extreme Value Models

Generate random Huesler-Reiss Models

Description

Generates a random connected graph and Gamma matrix with conditional independence structure corresponding to that graph.

Usage

generate_random_model(d, graph_type = "general", ...)

Arguments

d	Number of vertices in the graph
graph_type	"tree", "block", "decomposable", "complete", or "general"
...	Further arguments passed to functions generating the graph and Gamma matrix

See Also

Other example generation functions: generate_random_Gamma(), generate_random_chordal_graph(), generate_random_graphical_Gamma(), generate_random_integer_Gamma(), generate_random_spd_matrix()

Examples

set.seed(1)
d <- 12

generate_random_model(d, 'tree')
generate_random_model(d, 'block')
generate_random_model(d, 'decomposable')
generate_random_model(d, 'general')
generate_random_model(d, 'complete')

graphicalExtremes documentation built on Nov. 14, 2023, 1:07 a.m.