modQR: Multiple-Output Directional Quantile Regression
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 Šiman, 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.
| Version: | 0.1.3 | 
| Depends: | R (≥ 2.5.0), lpSolve (≥ 5.6.1), geometry (≥ 0.3-1) | 
| Suggests: | rgl | 
| Published: | 2022-05-11 | 
| DOI: | 10.32614/CRAN.package.modQR | 
| Author: | Miroslav Šiman [aut],
  Pavel Boček [aut, cre] | 
| Maintainer: | Pavel Boček  <bocek at utia.cas.cz> | 
| License: | LGPL-2 | 
| Copyright: | The Institute of Information Theory and Automation of the
Czech Academy of Sciences, Pod Vodarenskou vezi 4, CZ-18208
Prague 8, Czech Republic, email: utia@utia.cas.cz, phone: +420
266 053 111 | 
| NeedsCompilation: | no | 
| Classification/MSC: | 62H05, 62J99, 62G08, 65C60 | 
| Materials: | ChangeLog | 
| CRAN checks: | modQR results | 
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