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 (2020) <arXiv:2007.00830> study the unmatched regression setting where the univariate regression function is known to be monotone. This package implements (two) gradient descent method(s) to compute the estimator developed in Balabdaoui, Doss, and Durot (2020).

Version: 1.0.0
Depends: decon
Suggests: purrr, distr, Iso
Published: 2020-09-02
Author: Charles Doss ORCID iD [aut, cre]
Maintainer: Charles Doss <cdoss at stat.umn.edu>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: UMR results

Downloads:

Reference manual: UMR.pdf
Package source: UMR_1.0.0.tar.gz
Windows binaries: r-devel: UMR_1.0.0.zip, r-release: UMR_1.0.0.zip, r-oldrel: UMR_1.0.0.zip
macOS binaries: r-release (arm64): UMR_1.0.0.tgz, r-release (x86_64): UMR_1.0.0.tgz, r-oldrel: UMR_1.0.0.tgz

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