View source: R/linear_hypothesis_functions.R
coefTestHAC | R Documentation |
Tests a linear hypothesis about coefficients. The calculation corrects for possible presence of heteroskedasticity and autocorrelation using the method developed by Newey and West. This method is appropriate for time series data.
coefTestHAC(model, conditions)
model |
Regression model being tested. |
conditions |
Hypothesis being tested. |
Let the regression model be: linmod=lm(y~x1+x2+x3+x4)
To test the hypothesis that the coefficient of x1 equals the coefficient of x2 and that the coefficient of x3 equals twice the coefficient of x4
coefTestHAC(linmod,c("x1=x2","x3=2*x4"))
The F-statistic and p-value for the hypothesis test are reported.
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