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UMR
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]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-02
Latest Update:
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 16 Jul. 2026.
Previous versions and publish date:
Other packages that cited UMR R package
View UMR citation profile
Other R packages that UMR depends,
imports, suggests or enhances
Functions, R codes and Examples using
the UMR R package
Some associated functions: UMR . UMR_CC_generic . UMRactiveSet . UMRactiveSet_trust . UMRactiveSet_trust2 . UMRgradDesc . UMRgradDesc_PC . UMRgradDesc_fixed_df . UMRgrad_generic . UMRhess . gradDesc_fixed_df . grad_helpers . objective_fn_numint . umr_deconv .
Some associated R codes: UMR.R . UMR_CC_generic.R . UMRactiveSet.R . UMRactiveSet_trust.R . UMRactiveSet_trust2.R . UMRgradDesc.R . UMRgradDesc_PC.R . UMRgradDesc_fixed_df.R . UMRgrad_generic.R . UMRhess.R . getEcdf.R . gradDesc_fixed_df.R . grad_helpers.R . objective_fn.R . umr_deconv.R . Full UMR package functions and examples
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