Package: extRC 1.2

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.

Authors:Francesco Bartolucci, Antonio Forcina

extRC_1.2.tar.gz
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extRC.pdf |extRC.html
extRC/json (API)

# Install 'extRC' in R:
install.packages('extRC', repos = c('https://francescobartolucci.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 10 scripts 129 downloads 13 exports 1 dependencies

Last updated 4 years agofrom:716b900b34. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winNOTENov 01 2024
R-4.5-linuxNOTENov 01 2024
R-4.4-winNOTENov 01 2024
R-4.4-macNOTENov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:cubyDetadfmDrankextRCHmatMainRCMatInplot.extRCPraDprint.extRCsummary.extRCtril

Dependencies:MASS