Package: ramchoice 3.0.0
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.
Authors:
ramchoice_3.0.0.tar.gz
ramchoice_3.0.0.zip(r-4.7-any)ramchoice_3.0.0.zip(r-4.6-any)ramchoice_3.0.0.zip(r-4.5-any)
ramchoice_3.0.0.tgz(r-4.6-any)ramchoice_3.0.0.tgz(r-4.5-any)
ramchoice_3.0.0.tar.gz(r-4.7-any)ramchoice_3.0.0.tar.gz(r-4.6-any)
ramchoice_3.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ramchoice/json (API)
| # Install 'ramchoice' in R: |
| install.packages('ramchoice', repos = c('https://mdcattaneo.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mdcattaneo/ramchoice/issues
- ramdata - Ramdata: Simulated Choice Data
Last updated from:3d9cecba37. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 110 | ||
| source / vignettes | OK | 164 | ||
| linux-release | OK | 107 | ||
| macos-release | OK | 110 | ||
| macos-oldrel | OK | 105 | ||
| windows-devel | OK | 80 | ||
| windows-release | OK | 94 | ||
| windows-oldrel | OK | 77 | ||
| wasm-release | OK | 81 |
Exports:aomIdentifyaomModelaomTestgenMathlaoEventhlaoModelhlaoNoPITesthlaoRankingshlaoTestlogitAttelogitSimuramTestrAtterevealAtterevealPrefrevealPrefModelsumData
