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.


News

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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install.packages("OrdFacReg")

1.0.6 by Kaspar Rufibach, 4 years ago


http://www.kasparrufibach.ch


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