summary.bayesianVARs_draws: Summary statistics for bayesianVARs posterior draws.

In bayesianVARs: MCMC Estimation of Bayesian Vectorautoregressions

Summary statistics for bayesianVARs posterior draws.

Description

Summary statistics for bayesianVARs posterior draws.

Usage

## S3 method for class 'bayesianVARs_draws'
summary(object, quantiles = c(0.25, 0.5, 0.75), ...)

Arguments

object	An object of class bayesianVARs_draws usually obtained through extractors like coef.bayesianVARs_bvar() and vcov.bayesianVARs_bvar().
quantiles	A vector of quantiles to evaluate.
...	Currently ignored.

Value

A list object of class bayesianVARs_draws_summary holding

• mean: Vector or matrix containing the posterior mean.

• sd: Vector or matrix containing the posterior standard deviation .

• quantiles: Array containing the posterior quantiles.

See Also

Available extractors: coef.bayesianVARs_bvar(), vcov.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 VAR coefficients
bvar_coefs <- coef(mod)

# Compute summary statistics
summary_stats <- summary(bvar_coefs)

# Compute summary statistics of VAR coefficients without using coef()
summary_stats <- summary(mod$PHI)

# Test which list elements of 'mod' are of class 'bayesianVARs_draws'.
names(mod)[sapply(names(mod), function(x) inherits(mod[[x]], "bayesianVARs_draws"))]

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