Package: ORTH.Ord 1.0.1

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.

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

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Exports:ORTH.Ord

Dependencies:abindmagicMASS