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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.

Versions across snapshots

VersionRepositoryFileSize
1.0.1 rolling linux/jammy R-4.5 ORTH.Ord_1.0.1.tar.gz 74.6 KiB
1.0.1 rolling linux/noble R-4.5 ORTH.Ord_1.0.1.tar.gz 74.5 KiB
1.0.1 rolling source/ R- ORTH.Ord_1.0.1.tar.gz 30.1 KiB
1.0.1 latest linux/jammy R-4.5 ORTH.Ord_1.0.1.tar.gz 74.6 KiB
1.0.1 latest linux/noble R-4.5 ORTH.Ord_1.0.1.tar.gz 74.5 KiB
1.0.1 latest source/ R- ORTH.Ord_1.0.1.tar.gz 30.1 KiB
1.0.1 2026-04-26 source/ R- ORTH.Ord_1.0.1.tar.gz 30.1 KiB
1.0.1 2026-04-23 source/ R- ORTH.Ord_1.0.1.tar.gz 30.1 KiB
1.0.1 2026-04-09 windows/windows R-4.5 ORTH.Ord_1.0.1.zip 79.3 KiB
1.0.1 2025-04-20 source/ R- ORTH.Ord_1.0.1.tar.gz 30.1 KiB

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