Summary of a Bayesian Multivariate Linear Model

This function provides a summary of the fitted Bayesian multivariate linear model. It includes summaries of both the marginal and conditional posterior distributions of B, as well as summaries of the hyperparameters (covariance matrix).

Usage

# S3 method for class 'mlvr'
summary(object, ...)

Arguments

object

An object of class mlvr, containing posterior simulations of the model.

...

Additional arguments (currently unused).

Value

A printed summary of the model fit.

Author

Joaquín Martínez-Minaya jmarmin@eio.upv.es

Examples

if (FALSE) { # \dontrun{
summary(fit)  # Summarize the fitted model
} # }