Package: weightedRank 0.3.7

Paul Rosenbaum

weightedRank: Sensitivity Analysis Using Weighted Rank Statistics

Performs a sensitivity analysis using weighted rank tests in observational studies with I blocks of size J; see Rosenbaum (2024) <doi:10.1080/01621459.2023.2221402>. The package can perform adaptive inference in block designs; see Rosenbaum (2012) <doi:10.1093/biomet/ass032>. The main functions are wgtRank(), wgtRankCI() and wgtRanktt().

Authors:Paul Rosenbaum [aut, cre]

weightedRank_0.3.7.tar.gz
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weightedRank.pdf |weightedRank.html
weightedRank/json (API)

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

Peer review:

Datasets:
  • aBP - Binge Drinking and Blood Pressure
  • aHDL - Alcohol and HDL Cholesterol
  • aHDLe - HDL Cholesterol and Light Daily Alcohol 2013-2020

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 151 downloads 9 exports 5 dependencies

Last updated 4 months agofrom:d08820fbe9. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-linuxOKNov 04 2024

Exports:amplifydwgtRankef2CgwgtRankstepSolvewgtRankwgtRankCwgtRankCIwgtRanktt

Dependencies:BiasedUrnMASSmvtnormsensitivitymvsenstrat