assess_joint_sktest: Tests the skewness and kurtosis of a VAR model

Description Usage Arguments Value Examples

View source: R/assess_joint_sktest.r

Description

This function tests the joint skewness and kurtosis for the residuals of the endogenous variables in the specified VAR model. This function uses an implementation equivalent to STATA's sktest. Of the p-levels resulting from assessing the significance of the joint sktest for the residuals of that variable, the minimum is returned.

Usage

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Arguments

varest

A varest model.

Value

This function returns a p-level.

Examples

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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_joint_sktest(varest)

autovarCore documentation built on May 29, 2017, 9:22 p.m.