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
rbounds_2.2.zip(r-4.7)rbounds_2.2.zip(r-4.6)rbounds_2.2.zip(r-4.5)
rbounds_2.2.tgz(r-4.6-any)rbounds_2.2.tgz(r-4.5-any)
rbounds_2.2.tar.gz(r-4.7-any)rbounds_2.2.tar.gz(r-4.6-any)
rbounds_2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
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.

2.92 score 139 scripts 697 downloads 6 mentions 7 exports 0 dependencies

Last updated from:473e39125c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK83
source / vignettesOK159
linux-release-x86_64OK101
macos-release-arm64OK143
macos-oldrel-arm64OK139
windows-develOK65
windows-releaseOK50
windows-oldrelOK57
wasm-releaseOK96

Exports:binarysensFisherSenshlsensiv_sensmcontrolpsensSumTestSens

Dependencies: