posterior_L1mediod.ebTobit: Compute the Posterior L1 Mediod of an ebTobit object
In ebTobit: Empirical Bayesian Tobit Matrix Estimation
posterior_L1mediod.ebTobit R Documentation
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
ebTobit documentation built on May 29, 2024, 5:06 a.m.
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| posterior_L1mediod.ebTobit | R Documentation |
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 |
Value
numeric matrix of posterior L1 mediods for the fitted empirical
Bayes model in object
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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