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.


Reference manual

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install.packages("ORTH.Ord")

1.0.1 by Can Meng, 2 years ago


Browse source code at https://github.com/cran/ORTH.Ord


Authors: Can Meng [aut, cre] , Fan Li [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Depends on magic, MASS

Suggests knitr, rmarkdown


See at CRAN