post.check: Diagnostic plots for continuous response margin
Description
It produces diagnostic plots based on quantile residuals.
Usage
post.check(x, main = "Histogram and Density Estimate of Residuals", main2 = "Histogram and Density Estimate of Residuals", xlab = "Quantile Residuals", xlab2 = "Quantile Residuals", ...)
Arguments
x
A fitted SemiParBIVProbit object as produced by SemiParBIVProbit().
main2
Title for the plot in the second row. This comes into play only when fitting models with two continuous margins.
xlab
Title for the x axis.
xlab2
Title for the x axis in the second row. As above.
...
Other graphics parameters to pass on to plotting commands.
Details
If the model fits the response well then the plots should look normally distributed.
When fitting models with two continuous margins, four plots will be produced. In this case,
the arguments main2 and xlab2 come into play and allow for different
labelling across the plots.
Examples
Run this code## see example 5 for SemiParBIVProbit
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