Extended RC Models for Contingency Tables
Step length
Computation of marginal parameters
First difference matrix
Check matrix rank
Overview of the Package extRC
Extended RC model
Matrix algebra transformation
Estimation of extended RC models
Aggregation matrices
Plot the output
Discrepancy with respect to equality constraints
Print the output.
Summary of extRC fits
Lower triangular matrix
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.