sme (version 1.0.2)

plotSmeDiagnostic: Diagnostic plot of the residuals for a fitted smoothing-splines mixed-effects model

Description

This type of plot is heavily inspired by Wu and Zhang (2006). A plot containing four panels is produced: (1) standardised residuals against fitted values, (2) standardised residuals against time, (3) standardised residuals against response and (4) a normal Q-Q plot of the standardised residuals. These plots can be used to assess how well the fitted model has accounted for the temporal correlation and between-subject variance in the data.

Usage

plotSmeDiagnostic(x)

Arguments

x

an object inheriting from class sme, representing a fitted smoothing-splines mixed-effects model

Value

A four panel plot as described above.

References

Berk, M. (2012). Smoothing-splines Mixed-effects Models in R. Preprint

Wu, H. and Zhang, J.-T. (2006). Nonparametric Regression Methods for Longitudinal Data Analysis. Wiley

See Also

plot.sme, plotSmeRaw, plotSmeModel

Examples

# NOT RUN {
  data(MTB)
  fit <- sme(MTB[MTB$variable==6031,c("y","tme","ind")])
  plotSmeDiagnostic(fit)
# }