plot.causalsens

Plot the results of a sensitivity analysis against unmeasured
confounding as perfomed by <code>causalsens</code>

The causalsens package provides functions to perform sensitivity analyses and to study how various assumptions about selection bias affects estimates of causal effects.

Matthew Blackwell

causalsens

Selection Bias Approach to Sensitivity Analysis for Causal
Effects

plot.causalsens function

<dl><dt>x</dt>
<dd><code>causalsens</code> object.</dd>
<dt>type</dt>
<dd>a string taking either the value <code>"r.squared"</code>
(default), which plots the estimated effects as a function of the
partial R-squared values, or <code>"raw"</code>, which plots them as a
function of the raw confounding values, <code>alpha</code>.</dd>
<dt>...</dt>
<dd>other parameters to pass to the plot.</dd></dl>

Arguments

Plot a causal sensitivity analysis. — plot.causalsens

<dl>

<dt>x</dt>
<dd><code>causalsens</code> object.</dd>


<dt>type</dt>
<dd>a string taking either the value <code>"r.squared"</code>
(default), which plots the estimated effects as a function of the
partial R-squared values, or <code>"raw"</code>, which plots them as a
function of the raw confounding values, <code>alpha</code>.</dd>


<dt>...</dt>
<dd>other parameters to pass to the plot.</dd>

</dl>

plot.causalsens: Plot a causal sensitivity analysis.

Description

Usage

Arguments