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.


OrdFacReg_1.0.6 (2015/07/03)

  • Properly import globals.

OrdFacReg_1.0.5 (2014/09/06)

  • Added dependency on package 'survival'

OrdFacReg_1.0.4 (2014/02/06)

  • Updated NAMESPACE

OrdFacReg_1.0.3 (2011/11/30)

  • Added a NAMESPACE file
  • Updated KRs contact details

OrdFacReg_1.0.2 (2010/08/30)

  • added option to chose ordering of each ordered factor

OrdFacReg_1.0.1 (2009/09/15)

  • added option to chose ordering of each ordered factor

OrdFacReg_1.0.0 (2009/04/16)

  • initial version

Reference manual

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1.0.6 by Kaspar Rufibach, 4 years ago


Browse source code at https://github.com/cran/OrdFacReg

Authors: Kaspar Rufibach

Documentation:   PDF Manual  

Task views: Survival Analysis

GPL (>= 2) license

Imports stats

Depends on survival, eha, MASS

See at CRAN