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-any)rbounds_2.2.zip(r-4.6-any)rbounds_2.2.zip(r-4.5-any)
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.

2.93 score 141 scripts 831 downloads 6 mentions 7 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK150
source / vignettesOK185
linux-releaseOK106
macos-releaseOK156
macos-oldrelOK145
windows-develOK68
windows-releaseOK66
windows-oldrelOK53
wasm-releaseOK113

Exports:binarysensFisherSenshlsensiv_sensmcontrolpsensSumTestSens

Dependencies: