Package: sensitivitymult 1.0.2

Paul R. Rosenbaum

sensitivitymult: Sensitivity Analysis for Observational Studies with Multiple Outcomes

Sensitivity analysis for multiple outcomes in observational studies. For instance, all linear combinations of several outcomes may be explored using Scheffe projections in the comparison() function; see Rosenbaum (2016, Annals of Applied Statistics) <doi:10.1214/16-AOAS942>. Alternatively, attention may focus on a few principal components in the principal() function. The package includes parallel methods for individual outcomes, including tests in the senm() function and confidence intervals in the senmCI() function.

Authors:Paul R. Rosenbaum

sensitivitymult_1.0.2.tar.gz
sensitivitymult_1.0.2.tar.gz(r-4.5-noble)sensitivitymult_1.0.2.tar.gz(r-4.4-noble)
sensitivitymult_1.0.2.tgz(r-4.4-emscripten)sensitivitymult_1.0.2.tgz(r-4.3-emscripten)
sensitivitymult.pdf |sensitivitymult.html
sensitivitymult/json (API)

# Install 'sensitivitymult' in R:
install.packages('sensitivitymult', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • artcog - Arthritis and cognition in the elderly.
  • tbmetaphase - Genetic damage from drugs used to treat TB
  • teeth - Smoking and Periodontal Disease.

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

8 exports 0.91 score 0 dependencies 3 dependents 35 scripts 164 downloads

Last updated 7 years agofrom:b183351850. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-linuxOKSep 17 2024

Exports:amplifycomparisonmscorevplanScheffeprincipalsenmsenmCIseparable1v

Dependencies: