Package: informedSen 1.0.7

informedSen: Sensitivity Analysis Informed by a Test for Bias

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>.

Authors:Paul R Rosenbaum

informedSen_1.0.7.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
informedSen/json (API)

# Install 'informedSen' in R:
install.packages('informedSen', repos = c('https://rosenbap.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • HDL - Light Daily Alcohol and HDL Cholesterol Levels

On CRAN:

Conda:

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

1.00 score 88 downloads 2 exports 1 dependencies

Last updated from:4d94e1b732. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK108
source / vignettesOK191
linux-release-x86_64OK102
macos-release-arm64OK90
macos-oldrel-arm64OK104
windows-develOK59
windows-releaseOK106
windows-oldrelOK118
wasm-releaseOK104

Exports:informedsensenmscores

Dependencies:sensitivitymult