Description Usage Arguments Details Examples

Providing an elaborate summary of a `lmmlasso`

object.

1 2 |

`object` |
a |

`...` |
not used. |

This functions shows a detailed summary of a `lmmlasso`

object. In the fixed-effects part, (n) right from a fixed-effects
coefficient means that this coefficient was not subject to penalization.

1 2 3 4 5 | ```
data(classroomStudy)
fit <-
lmmlasso(x=classroomStudy$X,y=classroomStudy$y,z=classroomStudy$Z,
grp=classroomStudy$grp,lambda=15,pdMat="pdIdent")
summary(fit)
``` |

```
Loading required package: emulator
Loading required package: mvtnorm
Loading required package: miscTools
Loading required package: penalized
Loading required package: survival
Welcome to penalized. For extended examples, see vignette("penalized").
----------------------------------------------------------------------
This is a test release of the package 'lmmlasso'. If you have any questions or problems, do not hesitate to contact the author.
----------------------------------------------------------------------
Model fitted by ML for lambda = 15 :
AIC BIC logLik deviance objective
363.9 379.1 -176.9 353.9 186.0
Random effects: pdIdent
Variance Std.Dev.
Intercept 0.1227391 0.3503414
Residual 0.4769248 0.6905974
Fixed effects:
|active set|= 3
Estimate
(Intercept) 0.02065969 (n)
sex -0.02376197
mathkind -0.57887176
Number of iterations: 4
```

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