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ORTH.Ord: Alternating Logistic Regression with Orthogonalized Residualsfor Correlated Ordinal Outcomes

A modified version of alternating logistic regressions (ALR) with estimation based on orthogonalized residuals (ORTH) is implemented, which use paired estimating equations to jointly estimate parameters in marginal mean and within-association models. The within-cluster association between ordinal responses is modeled by global pairwise odds ratios (POR). A finite-sample bias correction is provided to POR parameter estimates based on matrix multiplicative adjusted orthogonalized residuals (MMORTH) for correcting estimating equations, and different bias-corrected variance estimators such as BC1, BC2, and BC3.

Version:	1.0.1
Depends:	R (≥ 4.0),magic,MASS
Suggests:	knitr,rmarkdown
Published:	2024-08-26
DOI:	10.32614/CRAN.package.ORTH.Ord
Author:	Can Meng [aut, cre], Fan Li [aut]
Maintainer:	Can Meng <can.meng at yale.edu>
License:	GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	ORTH.Ord results

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