extRC: Extended RC Models for Contingency Tables
Maximum likelihood estimation of an extended class of row-column (RC) association models for two-dimensional contingency tables, which are formulated by a condition of reduced rank on a matrix of extended association parameters; see Forcina (2019) <doi:10.48550/arXiv.1910.13848>. These parameters are defined by choosing the logit type for the row and column variables among four different options and a transformation derived from suitable divergence measures.
| Version: | 1.2 |
| Imports: | MASS |
| Published: | 2020-10-10 |
| DOI: | 10.32614/CRAN.package.extRC |
| Author: | Francesco Bartolucci, Antonio Forcina |
| Maintainer: | Francesco Bartolucci <francesco.bartolucci at unipg.it> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | extRC results |
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