print.summary.bayesianVARs_predict: Print method for summary.bayesianVARs_predict objects

In bayesianVARs: MCMC Estimation of Bayesian Vectorautoregressions

Print method for summary.bayesianVARs_predict objects

Description

Print method for summary.bayesianVARs_predict objects.

Usage

## S3 method for class 'summary.bayesianVARs_predict'
print(x, ...)

Arguments

x	A summary.bayesianVARs_predict object obtained via summary.bayesianVARs_predict().
...	Currently ignored.

Value

Returns x invisibly.

Examples

# Access a subset of the usmacro_growth dataset
data <- usmacro_growth[,c("GDPC1", "CPIAUCSL", "FEDFUNDS")]

# Split data in train and test
train <- data[1:(nrow(data)-4),]
test <- data[-c(1:(nrow(data)-4)),]

# Estimate model using train data only
mod <- bvar(train, quiet = TRUE)

# Simulate from 1-step ahead posterior predictive
predictions <- predict(mod, ahead = 1L)
sum <- summary(predictions)
print(sum)

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