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` | An object of `S3` class `"bdgraph"`, from function `bdgraph`.
`round` | A value for rounding all probabilities to the specified number of decimal places.
`vis` | Visualize the results.
`...` | System reserved (no specific usage).

### Value

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

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

Letac, G., Massam, H. and Mohammadi, R. (2018). The Ratio of Normalizing Constants for Bayesian Graphical Gaussian Model Selection, arXiv preprint arXiv:1706.04416v2

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

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

### See Also

`bdgraph`, `bdgraph.mpl`

### 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 2.62 Index]