R: Summary function for 'S3' class "'bdgraph'"

summary.bdgraph {BDgraph}

R Documentation

Summary function for `S3` class "`bdgraph`"

Description

Provides a summary of the results for function bdgraph.

Usage

## S3 method for class 'bdgraph'
summary( object, round = 2, vis = TRUE, ... )

Arguments

`object`	object of `S3` class "`bdgraph`", from function `bdgraph`.
`round`	value for rounding all probabilities to the specified number of decimal places.
`vis`	visualize the results.
`...`	additional plotting parameters for the case `vis = TRUE`. See `plot.graph`.

Value

`selected_g`	adjacency matrix corresponding to the selected graph which has the highest posterior probability.
`p_links`	upper triangular matrix corresponding to the posterior probabilities of all possible links.
`K_hat`	estimated precision matrix.

Author(s)

Reza Mohammadi a.mohammadi@uva.nl and Ernst Wit

References

Mohammadi, R. and Wit, E. C. (2019). BDgraph: An R Package for Bayesian Structure Learning in Graphical Models, Journal of Statistical Software, 89(3):1-30, doi: 10.18637/jss.v089.i03

Mohammadi, A. and Wit, E. C. (2015). Bayesian Structure Learning in Sparse Gaussian Graphical Models, Bayesian Analysis, 10(1):109-138, doi: 10.1214/14-BA889

Mohammadi, R., Massam, H. and Letac, G. (2021). Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical Models, Journal of the American Statistical Association, doi: 10.1080/01621459.2021.1996377

Dobra, A. and Mohammadi, R. (2018). Loglinear Model Selection and Human Mobility, Annals of Applied Statistics, 12(2):815-845, doi: 10.1214/18-AOAS1164

Mohammadi, A. et al (2017). Bayesian modelling of Dupuytren disease by using Gaussian copula graphical models, Journal of the Royal Statistical Society: Series C, 66(3):629-645, doi: 10.1111/rssc.12171

Examples

## Not run: 
# Generating multivariate normal data from a 'random' graph
data.sim <- bdgraph.sim( n = 50, p = 6, size = 7, vis = TRUE )
   
bdgraph.obj <- bdgraph( data = data.sim )
   
summary( bdgraph.obj )
   
bdgraph.obj <- bdgraph( data = data.sim, save = TRUE )
   
summary( bdgraph.obj )
   
summary( bdgraph.obj, vis = FALSE )

## End(Not run)

[Package BDgraph version 2.65 Index]

Summary function for S3 class "bdgraph"