Package: rbounds 2.2

rbounds: Perform Rosenbaum Bounds Sensitivity Tests for Matched and Unmatched Data

Takes matched and unmatched data and calculates Rosenbaum bounds for the treatment effect. Calculates bounds for binary outcome data, Hodges-Lehmann point estimates, Wilcoxon signed-rank test for matched data and matched IV estimators, Wilcoxon sum rank test, and for data with multiple matched controls. The sensitivity analysis methods in this package are documented in Rosenbaum (2002) Observational Studies, <doi:10.1007/978-1-4757-3692-2>, Springer-Verlag.

Authors:Luke J. Keele

rbounds_2.2.tar.gz
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rbounds.pdf |rbounds.html
rbounds/json (API)

# Install 'rbounds' in R:
install.packages('rbounds', repos = c('https://ljk20.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • angristlavy - Angrist and Lavy (1999) Maimonides' Rule Data Set

On CRAN:

Conda:

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

2.72 score 82 scripts 1.1k downloads 6 mentions 7 exports 0 dependencies

Last updated 3 years agofrom:473e39125c. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 31 2025
R-4.5-winOKMar 31 2025
R-4.5-macOKMar 31 2025
R-4.5-linuxOKMar 31 2025
R-4.4-winOKMar 31 2025
R-4.4-macOKMar 31 2025
R-4.4-linuxOKMar 31 2025
R-4.3-winOKMar 31 2025
R-4.3-macOKMar 31 2025

Exports:binarysensFisherSenshlsensiv_sensmcontrolpsensSumTestSens

Dependencies: