Contains basic tools for performing multiple-output quantile regression and computing regression quantile contours by means of directional regression quantiles. In the location case, one can thus obtain halfspace depth contours in two to six dimensions. Hallin, M., Paindaveine, D. and Siman, M. (2010) Multivariate quantiles and multiple-output regression quantiles: from L1 optimization to halfspace depth. Annals of Statistics 38, 635-669 For more references about the method, see Help pages.
|Author||Miroslav Šiman [aut], Pavel Boček [aut, cre]|
|Maintainer||Pavel Boček <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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