orth: Multivariate Logistic Regressions Using Orthogonalized
Residuals
Performs multivariate logistic regressions by way of
orthogonalized residuals. As a special case, the methodology
recasts alternating logistic regressions in a way that is
consistent with standard estimating equation theory. Cluster
diagnostics and observation level diagnostics such as leverage
and Cook's distance are computed based on an approximation.
Exact versions of these diagnostics are computationally
demanding and as of this version, will not be included.
| Version: |
1.5.1 |
| Depends: |
methods |
| Published: |
2011-01-25 |
| Author: |
Kunthel By, Bahjat F. Qaqish, and John S. Preisser |
| Maintainer: |
Kunthel By <kby at bios.unc.edu> |
| License: |
GPL (≥ 2) |
| CRAN checks: |
orth results |
Downloads: