precision {BDgraph} R Documentation

## Estimated precision matrix

### Description

Provides the estimated precision matrix.

### Usage

` precision( bdgraph.obj, round = 2 ) `

### Arguments

 `bdgraph.obj` An object of `S3` class `"bdgraph"`, from function `bdgraph`. It also can be an object of `S3` class `"ssgraph"`, from the function `ssgraph::ssgraph()` of `R` package `ssgraph::ssgraph()`. `round` A value for rounding all probabilities to the specified number of decimal places.

### Value

A matrix which corresponds the estimated precision matrix.

### 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

`bdgraph`, `covariance`, `plinks`

### Examples

```## Not run:
# Generating multivariate normal data from a 'circle' graph
data.sim <- bdgraph.sim( n = 70, p = 6, graph = "circle", vis = TRUE )

bdgraph.obj   <- bdgraph( data = data.sim )

precision( bdgraph.obj ) # Estimated precision matrix

data.sim \$ K   # True precision matrix

## End(Not run)
```

[Package BDgraph version 2.64 Index]