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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.
Getting started
Browse package contents
Package details |
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| Author | Francesco Bartolucci [aut, cre], Antonio Forcina [aut] |
| Maintainer | Francesco Bartolucci <francesco.bartolucci@unipg.it> |
| License | GPL (>= 2) |
| Version | 1.3 |
| Package repository | View on CRAN |
| Installation |
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