Predictive Distribution for Bayesian Multivariate Linear Model (Analytical and Simulated)

This function generates both analytical and simulated predictive distributions for new data based on the fitted Bayesian multivariate linear model.

Usage

# S3 method for class 'mlvr'
predict(object, newdata, n_sims = 1000)

Arguments

object

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

newdata

A data frame containing new observations for which predictions are to be made.

n_sims

Number of predictive simulations (optional, default is 1000).

Value

A list containing summaries, analytical and simulated predictive distributions, and marginals.

Author

Joaquín Martínez-Minaya jmarmin@eio.upv.es