summary.bvar: Summary method for Bayesian VARs

In BVAR: Hierarchical Bayesian Vector Autoregression

Summary method for Bayesian VARs

Description

Retrieves several outputs of interest, including the median coefficient matrix, the median variance-covariance matrix, and the log-likelihood. Separate summary methods exist for impulse responses and forecasts.

Usage

## S3 method for class 'bvar'
summary(object, ...)

Arguments

object	A bvar object, obtained from bvar.
...	Not used.

Value

Returns a list of class bvar_summary with elements that can can be accessed individually:

• bvar - the bvar object provided.

• coef - coefficient values from coef.bvar.

• vcov - VCOV values from vcov.bvar.

• logLik - the log-likelihood from logLik.

See Also

bvar; predict.bvar; irf.bvar

Examples

# Access a subset of the fred_qd dataset
data <- fred_qd[, c("CPIAUCSL", "UNRATE", "FEDFUNDS")]
# Transform it to be stationary
data <- fred_transform(data, codes = c(5, 5, 1), lag = 4)

# Estimate a BVAR using one lag, default settings and very few draws
x <- bvar(data, lags = 1, n_draw = 1000L, n_burn = 200L, verbose = FALSE)

summary(x)

BVAR documentation built on May 29, 2024, 5:34 a.m.