csranks: Statistical Tools for Ranks

Account for uncertainty when working with ranks. Estimate standard errors consistently in linear regression with ranked variables. Construct confidence sets of various kinds for positions of populations in a ranking based on values of a certain feature and their estimation errors. Theory based on Mogstad, Romano, Shaikh, and Wilhelm (2023)<doi:10.1093/restud/rdad006> and Chetverikov and Wilhelm (2023) <doi:10.48550/arXiv.2310.15512>.

Version: 1.2.2
Depends: R (≥ 3.5.0)
Imports: stats, ggplot2, scales, MASS, cli, lifecycle
Suggests: spelling, testthat (≥ 2.1.0), grid, knitr, rmarkdown
Published: 2024-01-24
DOI: 10.32614/CRAN.package.csranks
Author: Daniel Wilhelm [aut, cre], Pawel Morgen [aut]
Maintainer: Daniel Wilhelm <d.wilhelm at lmu.de>
BugReports: https://github.com/danielwilhelm/R-CS-ranks/issues
License: GPL (≥ 3)
URL: https://github.com/danielwilhelm/R-CS-ranks, https://danielwilhelm.github.io/R-CS-ranks/
NeedsCompilation: no
Language: en-US
Citation: csranks citation info
Materials: README NEWS
CRAN checks: csranks results


Reference manual: csranks.pdf
Vignettes: Inference for Ranks
Inference for Rank-Rank Regressions


Package source: csranks_1.2.2.tar.gz
Windows binaries: r-devel: csranks_1.2.2.zip, r-release: csranks_1.2.2.zip, r-oldrel: csranks_1.2.2.zip
macOS binaries: r-release (arm64): csranks_1.2.2.tgz, r-oldrel (arm64): csranks_1.2.2.tgz, r-release (x86_64): csranks_1.2.2.tgz, r-oldrel (x86_64): csranks_1.2.2.tgz
Old sources: csranks archive


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