getOMPlot: Get the observed vs fitted residuals
In CRTgeeDR: Doubly Robust Inverse Probability Weighted Augmented GEE Estimator
getOMPlot R Documentation
Get the observed vs fitted residuals
Description
Get the histogram and some basic statistics for the weights used in the IPW part.
Usage
getOMPlot(object, save = FALSE, name = "plotOM", typeplot = 0)
Arguments
object
CRTgeeDR
save,
logical if TRUE the plot is saved as a pdf in the current directory
name,
name of the plot saved as pdf
typeplot,
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])
CRTgeeDR documentation built on Sept. 6, 2022, 9:07 a.m.
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| getOMPlot | R Documentation |
Get the observed vs fitted residuals
Description
Get the histogram and some basic statistics for the weights used in the IPW part.
Usage
getOMPlot(object, save = FALSE, name = "plotOM", typeplot = 0)
Arguments
object |
CRTgeeDR |
save, |
logical if TRUE the plot is saved as a pdf in the current directory |
name, |
name of the plot saved as pdf |
typeplot, |
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]) |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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