sensPlot creates a contour plot that summarizes the results of the sensitivity analysis obtained from GLM.sens. The plot region is defined by the coefficient on U in the outcome model (vertical axis) and that in the treatment model (horizontal axis). Each contour represents the combination of sensitivity parameters for U that lead to the same treatment effect estimate.
● Data Source:
CranContrib
● Keywords:
● Alias: sensPlot
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treatSens.BART performs dual-parameter sensitivity analysis for unobserved confounding for binary treatment variables using Bayesian Additive Regression Trees (BART).
● Data Source:
CranContrib
● Keywords:
● Alias: treatSens.BART
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Utilities to investigate sensitivity to unmeasured confounding in causal models of several types.
● Data Source:
CranContrib
● Keywords: package
● Alias: treatSens-package
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treatSens performs dual-parameter sensitivity analysis for unobserved confounding for both continuous and binary treatment variables.
● Data Source:
CranContrib
● Keywords:
● Alias: treatSens
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Summary method for objects of class "sensitivity".
● Data Source:
CranContrib
● Keywords:
● Alias: summary.sensitivity, summary.sensitivity.default
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providing 
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