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.
| Version: | 0.1.2 |
| Depends: | R (≥ 2.5.0), lpSolve (≥ 5.6.1), geometry (≥ 0.3-1) |
| Suggests: | rgl |
| Published: | 2019-01-16 |
| 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 |
| Reference manual: | modQR.pdf |
| Package source: | modQR_0.1.2.tar.gz |
| Windows binaries: | r-devel: modQR_0.1.2.zip, r-release: modQR_0.1.2.zip, r-oldrel: modQR_0.1.2.zip |
| macOS binaries: | r-release: modQR_0.1.2.tgz, r-oldrel: modQR_0.1.2.tgz |
| Old sources: | modQR archive |
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