Package: sensitivitymw 2.1

Paul R. Rosenbaum

sensitivitymw: Sensitivity Analysis for Observational Studies Using Weighted M-Statistics

Sensitivity analysis for tests, confidence intervals and estimates in matched observational studies with one or more controls using weighted or unweighted Huber-Maritz M-tests (including the permutational t-test). The method is from Rosenbaum (2014) Weighted M-statistics with superior design sensitivity in matched observational studies with multiple controls JASA, 109(507), 1145-1158 <doi:10.1080/01621459.2013.879261>.

Authors:Paul R. Rosenbaum

sensitivitymw_2.1.tar.gz
sensitivitymw_2.1.tar.gz(r-4.5-noble)sensitivitymw_2.1.tar.gz(r-4.4-noble)
sensitivitymw_2.1.tgz(r-4.4-emscripten)sensitivitymw_2.1.tgz(r-4.3-emscripten)
sensitivitymw.pdf |sensitivitymw.html
sensitivitymw/json (API)

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

Peer review:

Datasets:
  • erpcp - DNA Damage Among Welders
  • mercury - NHANES Mercury/Fish Data

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

1.58 score 1 stars 38 scripts 323 downloads 6 exports 0 dependencies

Last updated 3 years agofrom:c29739154c. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 01 2024
R-4.5-linuxOKDec 01 2024

Exports:mscorevmultrnksnewurkssenmwsenmwCIseparable1k

Dependencies: