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 [aut, cre]
Maintainer:	Charles Doss <cdoss at stat.umn.edu>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	UMR results

Documentation:

Reference manual:

UMR.pdf

Downloads:

Package source:	UMR_1.1.0.tar.gz
Windows binaries:	r-devel: UMR_1.1.0.zip, r-release: UMR_1.1.0.zip, r-oldrel: UMR_1.1.0.zip
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

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