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

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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.

Author
Kaspar Rufibach
Date of publication
2015-07-04 15:27:12
Maintainer
Kaspar Rufibach <kaspar.rufibach@gmail.com>
License
GPL (>= 2)
Version
1.0.6
URLs

View on CRAN

Man pages

internal
Internal functions for ordered factor regression functions
ordFacReg
Compute least squares or logistic regression for ordered...
ordFacRegCox
Compute Cox-regression for ordered predictors
ordFacReg-package
Least Squares, Logistic, and Cox-Regression with Ordered...
prepareData
Prepare input data to be used in active set algorithm

Files in this package

OrdFacReg
OrdFacReg/NAMESPACE
OrdFacReg/NEWS
OrdFacReg/R
OrdFacReg/R/logRegDeriv.r
OrdFacReg/R/lmSS.r
OrdFacReg/R/setminus.r
OrdFacReg/R/ordFacReg.r
OrdFacReg/R/logRegSubspace.r
OrdFacReg/R/maxStep.r
OrdFacReg/R/logRegLoglik.r
OrdFacReg/R/constraintMats.r
OrdFacReg/R/coxLoglik.r
OrdFacReg/R/lmLSE.r
OrdFacReg/R/coxDeriv.r
OrdFacReg/R/expandBeta.r
OrdFacReg/R/dummy.r
OrdFacReg/R/coxSubspace.r
OrdFacReg/R/phi_jl.r
OrdFacReg/R/LSEsubspace.r
OrdFacReg/R/shrinkBeta.r
OrdFacReg/R/Abeta.r
OrdFacReg/R/ordFacRegCox.r
OrdFacReg/R/indexDummy.r
OrdFacReg/R/prepareData.r
OrdFacReg/MD5
OrdFacReg/DESCRIPTION
OrdFacReg/man
OrdFacReg/man/ordFacReg-package.Rd
OrdFacReg/man/internal.Rd
OrdFacReg/man/prepareData.Rd
OrdFacReg/man/ordFacRegCox.Rd
OrdFacReg/man/ordFacReg.Rd