getOMPlot

Get the histogram and some basic statistics for the weights used in the IPW part.

Implements a semi-parametric GEE estimator accounting for missing data with Inverse-probability weighting (IPW) and for imbalance in covariates with augmentation (AUG). The estimator IPW-AUG-GEE is Doubly robust (DR).

Melanie Prague

CRTgeeDR

Doubly Robust Inverse Probability Weighted Augmented GEE
Estimator

Paul Gilbert

Ravi Varadhan

Ming Wang

Lee McDaniel

Nick Henderson

getOMPlot function

<dl><dt>object</dt>
<dd>CRTgeeDR</dd>
<dt>save,</dt>
<dd>logical if TRUE the plot is saved as a pdf in the current directory</dd>
<dt>name,</dt>
<dd>name of the plot saved as pdf</dd>
<dt>typeplot,</dt>
<dd>integer indicating which is the adequation diagnostic plot for the PS. '0', all available in plot.glm are displayed, '1' Residuals vs Fitted, '2' Normal Q-Q,
'3' Scale-Location, '4' Cook's distance, '5' Residuals vs Leverage and '6' Cook's dist vs Leverage* h[ii] / (1 - h[ii])</dd></dl>

Arguments

Get the observed vs fitted residuals — getOMPlot

<dl>

<dt>object</dt>
<dd>CRTgeeDR</dd>


<dt>save,</dt>
<dd>logical if TRUE the plot is saved as a pdf in the current directory</dd>


<dt>name,</dt>
<dd>name of the plot saved as pdf</dd>


<dt>typeplot,</dt>
<dd>integer indicating which is the adequation diagnostic plot for the PS. '0', all available in plot.glm are displayed, '1' Residuals vs Fitted, '2' Normal Q-Q,
'3' Scale-Location, '4' Cook's distance, '5' Residuals vs Leverage and '6' Cook's dist vs Leverage* h[ii] / (1 - h[ii])</dd>

</dl>

getOMPlot: Get the observed vs fitted residuals

Description

Usage

Arguments