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 |
DOI: | 10.32614/CRAN.package.auctionr |
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 (arm64): auctionr_0.1.0.tgz, r-oldrel (arm64): auctionr_0.1.0.tgz, r-release (x86_64): auctionr_0.1.0.tgz, r-oldrel (x86_64): auctionr_0.1.0.tgz |
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