FastCUB: Fast EM and Best-Subset Selection for CUB Models for Rating Data

For ordinal rating data, consider the accelerated Expectation-Maximization algorithm to estimate and test models within the family of CUB models (where CUB stands for Combination of a discrete Uniform and a shifted Binomial distributions). The procedure is built upon Louis' identity for the observed information matrix. Best-subset variable selection for CUB regression models is then implemented on such basis. The methods here implemented are illustrated and discussed in the preprint available from Researchgate by Simone R. (2020) <>.

Version: 0.0.2
Depends: R (≥ 2.15.2), Formula
Imports: methods, utils, CUB
Published: 2020-02-12
Author: Rosaria Simone
Maintainer: Rosaria Simone <rosaria.simone at>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: FastCUB results


Reference manual: FastCUB.pdf


Package source: FastCUB_0.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): FastCUB_0.0.2.tgz, r-oldrel (arm64): FastCUB_0.0.2.tgz, r-release (x86_64): FastCUB_0.0.2.tgz
Old sources: FastCUB archive


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