UMR: Unmatched Monotone Regression

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) <arXiv:2007.00830> 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.

Version: 1.1.0
Depends: decon, trust, distr
Suggests: purrr, Iso
Published: 2021-08-14
Author: Charles Doss ORCID iD [aut, cre]
Maintainer: Charles Doss <cdoss at>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: UMR results


Reference manual: UMR.pdf


Package source: UMR_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): UMR_1.1.0.tgz, r-oldrel (arm64): UMR_1.1.0.tgz, r-release (x86_64): UMR_1.1.0.tgz, r-oldrel (x86_64): UMR_1.1.0.tgz
Old sources: UMR archive


Please use the canonical form to link to this page.