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consrq: Constrained Quantile Regression (original) (raw)

Constrained quantile regression is performed. One constraint is that all beta coefficients (including the constant) cannot be negative, they can be either 0 or strictly positive. Another constraint is that the beta coefficients lie within an interval. References: Koenker R. (2005) Quantile Regression, Cambridge University Press. <doi:10.1017/CBO9780511754098>.

Version: 1.0
Depends: R (≥ 4.0)
Imports: quantreg, Rfast
Suggests: Rfast2, cols
Published: 2024-11-21
DOI: 10.32614/CRAN.package.consrq
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: consrq results

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