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ORTH.Ord  

Alternating Logistic Regression with Orthogonalized Residuals for Correlated Ordinal Outcomes
View on CRAN: Click here


Download and install ORTH.Ord package within the R console
Install from CRAN:
install.packages("ORTH.Ord")

Install from Github:
library("remotes")
install_github("cran/ORTH.Ord")

Install by package version:
library("remotes")
install_version("ORTH.Ord", "1.0.1")



Attach the package and use:
library("ORTH.Ord")
Maintained by
Can Meng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-08-26
Latest Update: 2024-08-26
Description:
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.
How to cite:
Can Meng (2024). ORTH.Ord: Alternating Logistic Regression with Orthogonalized Residuals for Correlated Ordinal Outcomes. R package version 1.0.1, https://cran.r-project.org/web/packages/ORTH.Ord. Accessed 07 Nov. 2024.
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