mea culpa: I've not written an extractor for this, so you have to do
f <- nlrq(whatever)
g <- summary(f)
g$cov
Note that this is computed by resampling so it varies somewhat
depending on the seed.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email[EM
In "lm" command, we can use "vcov" option to get variance-covariance matrix.
Does anyone know how to get variance-covariance matrix in nlrq?
Thanks,
Kate
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