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It seems like there is no possibility for weights, but I know that other software packages (in R and Stata) allow for weighted quantile regression. I think it should not be too difficult, as the "unweighted" case is equivalent to equal weighting as you know.
Disclaimer: My use case involves weights because it is survey data.
The text was updated successfully, but these errors were encountered:
I have used kernel weights to do locally smoothed (e.g., nonparametric) quantile regression, relying on the interior point code from QuantileRegression.jl It is easy. See the following for a rough example https://github.com/mcreel/ABCGMM/blob/master/DSGE/ABCGMM/npreg.jl
2 years late to the party, but I've release the package now (put it in the registry) and I will add weights because I need them myself :) (actually I need nonparametric qr as @mcreel mentions, so I'll put that in as well).
It seems like there is no possibility for weights, but I know that other software packages (in R and Stata) allow for weighted quantile regression. I think it should not be too difficult, as the "unweighted" case is equivalent to equal weighting as you know.
Disclaimer: My use case involves weights because it is survey data.
The text was updated successfully, but these errors were encountered: