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.

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Description file content

Package
extRC
Type
Package
Title
Extended RC Models for Contingency Tables
Version
1.0
Date
2019-12-24
Author
Francesco Bartolucci, Antonio Forcina
Maintainer
Francesco Bartolucci
Description
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) . 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.
License
GPL (>= 2)
Imports
MASS
NeedsCompilation
no
Packaged
2020-01-09 15:10:07 UTC; francescobartolucci
Repository
CRAN
Date/Publication
2020-01-13 15:40:02 UTC

install.packages('extRC')

1.0

11 days ago

Francesco Bartolucci

GPL (>= 2)

Imports

MASS

Discussions