Estimates a first-price auction model with conditionally independent private values as described in MacKay (2020) <doi:10.2139/ssrn.3096534>. The model allows for unobserved heterogeneity that is common to all bidders in addition to observable heterogeneity.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, parallel, numDeriv (≥ 2016.8-1) |
| Suggests: | testthat (≥ 2.1.0), knitr, rmarkdown |
| Published: | 2020-06-25 |
| Author: | Alex MacKay [aut, cre], Bob Freeman [aut], Paul Jonak [aut], Victoria Prince [aut], Ista Zahn [aut] |
| Maintainer: | Alex MacKay <amackay at hbs.edu> |
| BugReports: | https://github.com/ajmack/auctionr/issues |
| License: | GPL-3 |
| URL: | https://github.com/ajmack/auctionr |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | auctionr results |
| Reference manual: | auctionr.pdf |
| Vignettes: |
Introduction to auctionr |
| Package source: | auctionr_0.1.0.tar.gz |
| Windows binaries: | r-devel: auctionr_0.1.0.zip, r-release: auctionr_0.1.0.zip, r-oldrel: auctionr_0.1.0.zip |
| macOS binaries: | r-release: auctionr_0.1.0.tgz, r-oldrel: auctionr_0.1.0.tgz |
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