treatSens-package: Sensitivity Analysis for Causal Inference

In treatSens: Sensitivity Analysis for Causal Inference

Description

Utilities to investigate sensitivity to unmeasured confounding in causal models of several types.

Details

Package:	treatSens
Type:	Package
Version:	0.1
Date:	2014-07-07
Depends:	R (>= 2.13.0), lme4
Suggests:	doSNOW
License:	GPL-2
LazyLoad:	yes
LazyData:	yes
Built:	R 3.1.1; ; 2014-08-12 16:49:37 UTC; windows

Run dual-parameter sensitivity analysis for continuous response modeled with linear model using treatSens. Results are available in either tabular form using summary.sensitivity or graphical form using sensPlot.

Author(s)

Authors: Nicole Bohme Carnegie, Masataka Harada, Jennifer Hill

Maintainer: Nicole Bohme Carnegie <[e-mail]>

References

Carnegie NB, Hill JH and Harada M. Assessing sensitivity to unmeasured confounding using simulated potential confounders (under review)

treatSens documentation built on March 18, 2018, 1:54 p.m.