consrq: Constrained Quantile Regression
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 |
Author: |
Michail Tsagris [aut, cre] |
Maintainer: |
Michail Tsagris <mtsagris at uoc.gr> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: |
no |
CRAN checks: |
consrq results |
Documentation:
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