vcov.bayesianVARs_bvar: Extract posterior draws of the (time-varying)...

In bayesianVARs: MCMC Estimation of Bayesian Vectorautoregressions

Extract posterior draws of the (time-varying) variance-covariance matrix for a VAR model

Description

Returns the posterior draws of the possibly time-varying variance-covariance matrix of a VAR estimated via bvar(). Returns the full paths if sv_keep="all" when calling bvar(). Otherwise, the draws of the variance-covariance matrix for the last observation are returned, only.

Usage

## S3 method for class 'bayesianVARs_bvar'
vcov(object, t = seq_len(nrow(object$logvar)), ...)

Arguments

object	An object of class bayesianVARs_bvar obtained via bvar().
t	Vector indicating which points in time should be extracted, defaults to all.
...	Currently ignored.

Value

An array of class bayesianVARs_draws of dimension T \times M \times M \times draws, where T is the number of observations, M the number of time-series and draws the number of stored posterior draws.

See Also

summary.bayesianVARs_draws, coef.bayesianVARs_bvar().

Examples

# Access a subset of the usmacro_growth dataset
data <- usmacro_growth[,c("GDPC1", "CPIAUCSL", "FEDFUNDS")]
# Estimate a model
mod <- bvar(data, sv_keep = "all", quiet = TRUE)

# Extract posterior draws of the variance-covariance matrix
bvar_vcov <- vcov(mod)

bayesianVARs documentation built on April 3, 2025, 6:25 p.m.