Qtools (version 1.0)

GOFTest: Goodness-of-Fit Tests for Quantile Regression Models

Description

This function calculates a goodness-of-fit test for quantile regression models.

Usage

GOFTest(object, type = "cusum", alpha = 0.05, B = 100, seed = NULL)

Value

GOFTest returns an object of class GOFtest.

Details

This function provides goodness-of-fit tests for quantile regression. Currently, there is only one method available (type = "cusum"), for a test based on the cusum process of the gradient vector (He and Zhu, 2013). The critical value at level alpha is obtained by resampling. Other methods will be implemented in future versions of the package.

References

He XM, Zhu LX. A lack-of-fit test for quantile regression. Journal of the American Statistical Association (2003);98:1013-1022.

Examples

data(barro, package = "quantreg")
fit <- quantreg::rq(y.net ~ lgdp2 + fse2 + gedy2 + Iy2 + gcony2, data = barro, tau = c(.1,.5,.9))
GOFTest(fit)