Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Paul R. Rosenbaum |
| Maintainer | Paul R. Rosenbaum <rosenbaum@wharton.upenn.edu> |
| License | GPL-2 |
| Version | 1.0.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the sensitivitymult package in your browser
Any scripts or data that you put into this service are public.
