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performance (version 0.9.1)

check_autocorrelation: Check model for independence of residuals.

Description

Check model for independence of residuals, i.e. for autocorrelation of error terms.

Usage

check_autocorrelation(x, ...)

# S3 method for default check_autocorrelation(x, nsim = 1000, ...)

Value

Invisibly returns the p-value of the test statistics. A p-value < 0.05 indicates autocorrelated residuals.

Arguments

x

A model object.

...

Currently not used.

nsim

Number of simulations for the Durbin-Watson-Test.

Details

Performs a Durbin-Watson-Test to check for autocorrelated residuals. In case of autocorrelation, robust standard errors return more accurate results for the estimates, or maybe a mixed model with error term for the cluster groups should be used.

Examples

Run this code
m <- lm(mpg ~ wt + cyl + gear + disp, data = mtcars)
check_autocorrelation(m)

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