The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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

Documentation:

Reference manual: OrdFacReg.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=OrdFacReg to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.