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UniIsoRegression  

Unimodal and Isotonic L1, L2 and Linf Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("UniIsoRegression", "0.0-0")



Attach the package and use:
library("UniIsoRegression")
Maintained by
Zhipeng Xu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-07
Latest Update: 2017-11-07
Description:
Perform L1 or L2 isotonic and unimodal regression on 1D weighted or unweighted input vector and isotonic regression on 2D weighted or unweighted input vector. It also performs L infinity isotonic and unimodal regression on 1D unweighted input vector. Reference: Quentin F. Stout (2008) <doi:10.1016/j.csda.2008.08.005>. Spouge, J., Wan, H. & Wilbur, W.(2003) <doi:10.1023/A:1023901806339>. Q.F. Stout (2013) <doi:10.1007/s00453-012-9628-4>.
How to cite:
Zhipeng Xu (2017). UniIsoRegression: Unimodal and Isotonic L1, L2 and Linf Regression. R package version 0.0-0, https://cran.r-project.org/web/packages/UniIsoRegression. Accessed 20 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:28), 0.0-0 (2017-11-07 19:15)
Other packages that cited UniIsoRegression R package
View UniIsoRegression citation profile
Other R packages that UniIsoRegression depends, imports, suggests or enhances
Complete documentation for UniIsoRegression
Functions, R codes and Examples using the UniIsoRegression R package
Some associated functions: reg_1d . reg_2d . 
Some associated R codes: RcppExports.R .  Full UniIsoRegression package functions and examples
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