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

Description In biomedical studies, researchers are often interested in assessing the association be-tween one or more ordinal explanatory variables and an outcome variable, at the same time ad-justing for covariates of any type. The outcome variable may be continuous, binary, or repre-sent censored survival times. In the absence of a precise knowledge of the response function, us-ing monotonicity constraints on the ordinal variables improves efficiency in estimating parame-ters, especially when sample sizes are small. This package implements an active set algo-rithm that efficiently computes such estimators. License GPL (> = 2