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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 <mtsagris at uoc.gr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | consrq results |
| Reference manual: | consrq.pdf |
| Package source: | consrq_1.0.tar.gz |
| Windows binaries: | r-devel: consrq_1.0.zip, r-release: consrq_1.0.zip, r-oldrel: consrq_1.0.zip |
| macOS binaries: | r-release (arm64): consrq_1.0.tgz, r-oldrel (arm64): consrq_1.0.tgz, r-release (x86_64): consrq_1.0.tgz, r-oldrel (x86_64): consrq_1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.