posteriorInference: Posterior inference
In trainorp/BayesianGLasso: Bayesian Graphical Lasso

Inferential statistics for the simulated posterior distributions of the covariance and concentration parameter matrices for Gaussian Graphical Models estimated via the adaptive or non-adaptive Bayesian Graphical Lasso

1	posteriorInference(bglObj, parameter = "Omega", alpha = 0.05, ...)

`parameter`	Options are "Omega" for the posterior distribution of the concentration matrix or "Sigma" for the covariance matrix
`x`	Bayesian Graphical Lasso object as returned by the function blockGLasso

`posteriorMean`	Matrix of mean values of the simulated posterior distribution
`posteriorSd`	Matrix of standard deviation values of the simulated posterior distribution
`posteriorMedian`	Matrix of median values of the simulated posterior distribution
`lowerCI`	Lower limit of the Bayesian credible interval for each matrix parameter
`upperCI`	Upper limit of the Bayesian credible interval for each matrix parameter