OrdFacReg: Least Squares, Logistic, and Cox-Regression with Ordered Predictors

In biomedical studies, researchers are often interested in assessing the association between one or more ordinal explanatory variables and an outcome variable, at the same time adjusting for covariates of any type. The outcome variable may be continuous, binary, or represent censored survival times. In the absence of a precise knowledge of the response function, using monotonicity constraints on the ordinal variables improves efficiency in estimating parameters, especially when sample sizes are small. This package implements an active set algorithm that efficiently computes such estimators.

Version: 1.0.6
Depends: survival, eha, MASS
Imports: stats
Published: 2015-07-04
DOI: 10.32614/CRAN.package.OrdFacReg
Author: Kaspar Rufibach
Maintainer: Kaspar Rufibach <kaspar.rufibach at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.kasparrufibach.ch
NeedsCompilation: no
Materials: NEWS
In views: Survival
CRAN checks: OrdFacReg results


Reference manual: OrdFacReg.pdf


Package source: OrdFacReg_1.0.6.tar.gz
Windows binaries: r-devel: OrdFacReg_1.0.6.zip, r-release: OrdFacReg_1.0.6.zip, r-oldrel: OrdFacReg_1.0.6.zip
macOS binaries: r-release (arm64): OrdFacReg_1.0.6.tgz, r-oldrel (arm64): OrdFacReg_1.0.6.tgz, r-release (x86_64): OrdFacReg_1.0.6.tgz, r-oldrel (x86_64): OrdFacReg_1.0.6.tgz
Old sources: OrdFacReg archive


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