Package: sensitivitymult 1.0.2

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
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sensitivitymult/json (API)

# Install 'sensitivitymult' in R:
install.packages('sensitivitymult', repos = c('https://rosenbap.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • artcog - Arthritis and cognition in the elderly.
  • tbmetaphase - Genetic damage from drugs used to treat TB
  • teeth - Smoking and Periodontal Disease.

On CRAN:

Conda:

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

2.39 score 2 packages 41 scripts 314 downloads 8 exports 0 dependencies

Last updated from:b183351850. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK82
source / vignettesOK123
linux-releaseOK76
macos-releaseOK85
macos-oldrelOK79
windows-develOK68
windows-releaseOK53
windows-oldrelOK60
wasm-releaseOK70

Exports:amplifycomparisonmscorevplanScheffeprincipalsenmsenmCIseparable1v

Dependencies: