Package: csranks 1.2.2.9001

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) <arxiv:2310.15512>.

Authors:Daniel Wilhelm [aut, cre], Pawel Morgen [aut]

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csranks.pdf |csranks.html
csranks/json (API)
NEWS

# Install 'csranks' in R:
install.packages('csranks', repos = c('https://danielwilhelm.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/danielwilhelm/r-cs-ranks/issues

Datasets:
  • parent_child_income - Income of parents and children
  • pisa - Cross-country comparison of students' achievement
  • pisa2018 - Cross-country comparison of students' achievement
  • pisa2022 - Cross-country comparison of students' achievement

On CRAN:

10 exports 5 stars 1.87 score 28 dependencies 6 scripts 285 downloads

Last updated 9 days agofrom:bd4f75576a. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-winNOTESep 09 2024
R-4.5-linuxNOTESep 09 2024
R-4.4-winNOTESep 09 2024
R-4.4-macNOTESep 09 2024
R-4.3-winNOTESep 09 2024
R-4.3-macNOTESep 09 2024

Exports:csrankscsranks_multinomcstaubestcstauworstfrankfrank_againstirankirank_againstlmranksplotranking

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

Inference for Rank-Rank Regressions

Rendered fromRank-Rank-Reg.rmdusingknitr::rmarkdownon Sep 09 2024.

Last update: 2024-09-09
Started: 2023-09-25

Inference for Ranks

Rendered fromInference-for-Ranks.rmdusingknitr::rmarkdownon Sep 09 2024.

Last update: 2024-09-09
Started: 2023-09-25