plot.lmmlasso: Diagnostic Plots for a lmmlasso object
In lmmlasso: Linear mixed-effects models with Lasso

Description Usage Arguments Details Examples

Plots six diagnostic plots for checking the model assumptions and supporting model selection for a lmmlasso object

1 2	## S3 method for class 'lmmlasso' plot(x, ...)

`x`	a `lmmlasso` object
`...`	not used.

plot.lmmlasso shows six diagnostic plots which support checking the model assumption, model fit and may give hints for another model. 1) The first plot depicts the Tukey-Anscombe plot in order to check the assumptions about the errors. Points with the same color belong to the same group. 2) QQ-Plot of the residuals with equal coloring for each group. 3) QQ-Plot of the predicted random effects. Be careful with the interpretation since the random effects have not been standardized. The color shows which points belong to the same random-effects covariate. 4) Boxplot of the predicted random effects for each random-effects variable. 5) Plot of the fitted y-values against the observed y-values. 6) A histogram of the fixed-effects coefficients.

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data(classroomStudy)
fit <- lmmlasso(x=classroomStudy$X,y=classroomStudy$y,z=classroomStudy$Z,grp=classroomStudy$grp,lambda=15,pdMat="pdIdent")
plot(fit)