https://www.gurobi.com/>, together with its associated R package, also called gurobi; see: <https://www.gurobi.com/documentation/7.0/refman/installing_the_r_package.html>. The method is a substantial computational and practical enhancement of a concept introduced in Rosenbaum (1992) Detecting bias with confidence in observational studies Biometrika, 79(2), 367-374 <doi:10.1093/biomet/79.2.367>.">

informedSen: Sensitivity Analysis Informed by a Test for Bias (original) (raw)

After testing for biased treatment assignment in an observational study using an unaffected outcome, the sensitivity analysis is constrained to be compatible with that test. The package uses the optimization software gurobi obtainable from <https://www.gurobi.com/>, together with its associated R package, also called gurobi; see: <https://www.gurobi.com/documentation/7.0/refman/installing_the_r_package.html>. The method is a substantial computational and practical enhancement of a concept introduced in Rosenbaum (1992) Detecting bias with confidence in observational studies Biometrika, 79(2), 367-374 <doi:10.1093/biomet/79.2.367>.

Version: 1.0.7
Depends: R (≥ 3.5.0)
Imports: sensitivitymult, stats
Enhances: gurobi
Published: 2021-08-04
DOI: 10.32614/CRAN.package.informedSen
Author: Paul R Rosenbaum
Maintainer: Paul R Rosenbaum
License: GPL-2
NeedsCompilation: no
CRAN checks: informedSen results

Documentation:

Reference manual: informedSen.pdf

Downloads:

Package source: informedSen_1.0.7.tar.gz
Windows binaries: r-devel: informedSen_1.0.7.zip, r-release: informedSen_1.0.7.zip, r-oldrel: informedSen_1.0.7.zip
macOS binaries: r-release (arm64): informedSen_1.0.7.tgz, r-oldrel (arm64): informedSen_1.0.7.tgz, r-release (x86_64): informedSen_1.0.7.tgz, r-oldrel (x86_64): informedSen_1.0.7.tgz

Reverse dependencies:

Reverse suggests: triplesmatch

Linking:

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