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UMR  

Unmatched Monotone Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("UMR", "1.1.0")



Attach the package and use:
library("UMR")
Maintained by
Charles Doss
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-02
Latest Update: 2021-08-14
Description:
Unmatched regression refers to the regression setting where covariates and predictors are collected separately/independently and so are not paired together, as in the usual regression setting. Balabdaoui, Doss, and Durot (2021) study the unmatched regression setting where the univariate regression function is known to be monotone. This package implements methods for computing the estimator developed in Balabdaoui, Doss, and Durot (2021). The main method is an active-set-trust-region-based method.
How to cite:
Charles Doss (2020). UMR: Unmatched Monotone Regression. R package version 1.1.0, https://cran.r-project.org/web/packages/UMR. Accessed 05 Jan. 2025.
Previous versions and publish date:
1.0.0 (2020-09-02 11:00), 1.1.0 (2021-08-14 11:00)
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