autovarCore (version 1.0-4)

assess_portmanteau_squared: Tests the homeskedasticity assumption for a VAR model using a portmanteau test on the squared residuals

Description

This function tests the homeskedasticity assumption for the residuals of the endogenous variables in the specified VAR model. This function implements the portmanteau squared test known as the Ljung-Box test, and results are comparable with STATA's wntestq. Of the p-levels resulting from assessing the homeskedasticity assumption for the squared residuals of that variable, the minimum is returned.

Usage

assess_portmanteau_squared(varest)

Arguments

varest

A varest model.

Value

This function returns a p-level.

Examples

Run this code
# NOT RUN {
data_matrix <- matrix(nrow = 40, ncol = 3)
data_matrix[, ] <- runif(ncol(data_matrix) * nrow(data_matrix), 1, nrow(data_matrix))
colnames(data_matrix) <- c('rumination', 'happiness', 'activity')
varest <- autovarCore:::run_var(data_matrix, NULL, 1)
autovarCore:::assess_portmanteau_squared(varest)
# }

Run the code above in your browser using DataCamp Workspace