posterior_L1mediod.ebTobit {ebTobit}

Compute the Posterior L1 Mediod of an ebTobit object

Description

The posterior L1 mediod is defined as \arg\min_y E |y - t|_1 where the expectation is taken over the posterior t|X=x. Here the posterior L1 mediod is evaluated for each of the observations used to fit object.

Usage

posterior_L1mediod.ebTobit(object)

Arguments

object

an object inheriting from class ebTobit

Value

numeric matrix of posterior L1 mediods for the fitted empirical Bayes model in object