# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "sensitivitymult" in publications use:' type: software license: GPL-2.0-only title: 'sensitivitymult: Sensitivity Analysis for Observational Studies with Multiple Outcomes' version: 1.0.2 doi: 10.32614/CRAN.package.sensitivitymult abstract: 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) . 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: - family-names: Rosenbaum given-names: Paul R. email: rosenbaum@wharton.upenn.edu repository: https://rosenbap.r-universe.dev commit: b1833518502754ca3bef5d12979bd026852a1bc4 date-released: '2017-08-29' contact: - family-names: Rosenbaum given-names: Paul R. email: rosenbaum@wharton.upenn.edu