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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) <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.
Package details |
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Author | Francesco Bartolucci, Antonio Forcina |
Maintainer | Francesco Bartolucci <francesco.bartolucci@unipg.it> |
License | GPL (>= 2) |
Version | 1.2 |
Package repository | View on CRAN |
Installation |
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