Alternating Logistic Regression with Orthogonalized Residuals for Correlated Ordinal Outcomes R package ORTH.Ord version 1.0.1 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. Software Depends: R (>= 4.0), magic, MASS Suggests: knitr, rmarkdown Can Meng <can.meng@yale.edu> Comprehensive R Archive Network (CRAN) Can Meng [aut, cre] (ORCID: <https://orcid.org/0000-0002-8257-6243>), Fan Li [aut] GPL (>= 2) 2024-08-26 application/tgz https://CRAN.R-project.org/package=ORTH.Ord doi:10.32614/CRAN.package.ORTH.Ord