ORTH.Ord: Alternating Logistic Regression with Orthogonalized Residuals for 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

Documentation:

Reference manual:	ORTH.Ord.pdf
Vignettes:	Package 'ORTH.Ord' (source, R code)

Downloads:

Package source:	ORTH.Ord_1.0.1.tar.gz
Windows binaries:	r-devel: ORTH.Ord_1.0.1.zip, r-release: ORTH.Ord_1.0.1.zip, r-oldrel: ORTH.Ord_1.0.1.zip
macOS binaries:	r-release (arm64): ORTH.Ord_1.0.1.tgz, r-oldrel (arm64): ORTH.Ord_1.0.1.tgz, r-release (x86_64): ORTH.Ord_1.0.1.tgz, r-oldrel (x86_64): ORTH.Ord_1.0.1.tgz

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