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'))

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:

5.54 score 5 stars 6 scripts 275 downloads 10 exports 28 dependencies

Last updated 3 months agofrom:bd4f75576a. Checks:OK: 3 NOTE: 4. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 08 2024
R-4.5-win	OK	Nov 08 2024
R-4.5-linux	OK	Nov 08 2024
R-4.4-win	NOTE	Nov 08 2024
R-4.4-mac	NOTE	Nov 08 2024
R-4.3-win	NOTE	Nov 08 2024
R-4.3-mac	NOTE	Nov 08 2024

Exports:csranks csranks_multinom cstaubest cstauworst frank frank_against irank irank_against lmranks plotranking

Dependencies:cli colorspace fansi farver ggplot2 glue gtable isoband labeling lattice lifecycle magrittr MASS Matrix mgcv munsell nlme pillar pkgconfig R6 RColorBrewer rlang scales tibble utf8 vctrs viridisLite withr

Inference for Rank-Rank Regressions

Rendered fromRank-Rank-Reg.rmdusingknitr::rmarkdownon Nov 08 2024.

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

Inference for Ranks

Rendered fromInference-for-Ranks.rmdusingknitr::rmarkdownon Nov 08 2024.

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Confidence sets for ranks	csranks
Confidence sets for ranks based on multinomial data	csranks_multinom
Confidence sets for the tau-best	cstaubest cstauworst
Compute ranks	frank irank
Compute integer ranks in another reference vector	frank_against irank_against
Regressions Involving Ranks	lmranks plot.lmranks predict.lmranks proj.lmranks summary.lmranks vcov.lmranks
Income of parents and children	parent_child_income
Cross-country comparison of students' achievement	pisa
Cross-country comparison of students' achievement	pisa2018 pisa2022
Plot ranking with confidence sets	plot.csranks plotranking