Sensitivity Analysis for Causal Inference

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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 <carnegin@uwm.edu>

References

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