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vcov

Extract Variance-covariance Matrix of Bayesian GVAR


Description

Extracts the global variance-covariance matrix for bgvar for certain quantiles of the posterior distribution.

Usage

## S3 method for class 'bgvar'
vcov(object, ..., quantile = 0.5)

Arguments

object

an object of class bgvar.

...

additional arguments.

quantile

reported quantiles. Default is set to median.

Value

Returns an q times K times K array of the global variance-covariance matrix, where q is the number of specified quantiles (this dimension is dropped if q=1) and K the number of endogenous variables.

Examples

library(BGVAR)
data(eerDatasmall)
model.ng <- bgvar(Data=eerDatasmall,W=W.trade0012.small,plag=1,draws=100,burnin=100)
vcov(model.ng)

BGVAR

Bayesian Global Vector Autoregressions

v2.2.0
GPL-3
Authors
Maximilian Boeck [aut, cre] (<https://orcid.org/0000-0001-6024-8305>), Martin Feldkircher [aut] (<https://orcid.org/0000-0002-5511-9215>), Florian Huber [aut] (<https://orcid.org/0000-0002-2896-7921>)
Initial release

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