Description Usage Arguments Details Examples

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

object

1 2 |

`x` |
a |

`...` |
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.

1 2 3 | ```
data(classroomStudy)
fit <- lmmlasso(x=classroomStudy$X,y=classroomStudy$y,z=classroomStudy$Z,grp=classroomStudy$grp,lambda=15,pdMat="pdIdent")
plot(fit)
``` |

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