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consrq  

Constrained Quantile Regression
View on CRAN: Click here


Download and install consrq package within the R console
Install from CRAN:
install.packages("consrq")

Install from Github:
library("remotes")
install_github("cran/consrq")

Install by package version:
library("remotes")
install_version("consrq", "1.0")



Attach the package and use:
library("consrq")
Maintained by
Michail Tsagris
[Scholar Profile | Author Map]
First Published: 2024-11-21
Latest Update: 2024-11-21
Description:
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>.
How to cite:
Michail Tsagris (2024). consrq: Constrained Quantile Regression. R package version 1.0, https://cran.r-project.org/web/packages/consrq. Accessed 12 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited consrq R package
View consrq citation profile
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Complete documentation for consrq
Functions, R codes and Examples using the consrq R package
Full consrq package functions and examples
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