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) <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 |
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 |
Documentation:
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