ramchoice: Revealed Preference and Attention Analysis in Random Limited Attention Models

Implements identification, estimation, inference, and specification procedures for random limited-attention models, including the Random Attention Model of Cattaneo, Ma, Masatlioglu, and Suleymanov (2020) <doi:10.1086/706861> and the Attention Overload Model of Cattaneo, Cheung, Ma, and Masatlioglu (2026) <doi:10.48550/arXiv.2110.10650>. The methods use standard choice data to partially identify preferences and attention and provide simulation-based procedures for statistical inference.

Version: 3.0.0
Depends: R (≥ 3.1.0)
Imports: lpSolve, MASS
Suggests: testthat (≥ 3.0.0)
Published: 2026-09-04
DOI: 10.32614/CRAN.package.ramchoice
Author: Matias D. Cattaneo [aut, cre], Paul Cheung [aut], Xinwei Ma [aut], Yusufcan Masatlioglu [aut], Elchin Suleymanov [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo at gmail.com>
BugReports: https://github.com/mdcattaneo/ramchoice/issues
License: GPL-2
URL: https://github.com/mdcattaneo/ramchoice, https://arxiv.org/abs/2110.10650
NeedsCompilation: no
CRAN checks: ramchoice results

Documentation:

Reference manual: ramchoice.html , ramchoice.pdf

Downloads:

Package source: ramchoice_3.0.0.tar.gz
Windows binaries: r-devel: ramchoice_2.2.zip, r-release: ramchoice_2.2.zip, r-oldrel: ramchoice_2.2.zip
macOS binaries: r-release (arm64): ramchoice_2.2.tgz, r-oldrel (arm64): ramchoice_2.2.tgz, r-release (x86_64): ramchoice_2.2.tgz, r-oldrel (x86_64): ramchoice_2.2.tgz
Old sources: ramchoice archive

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