summary.lmmlasso: Summarize an lmmlasso object

In lmmlasso: Linear mixed-effects models with Lasso

Description

Providing an elaborate summary of a lmmlasso object.

Usage

## S3 method for class 'lmmlasso'
summary(object, ...)

Arguments

object	a lmmlasso object
...	not used.

Details

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.

Examples

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

Example output

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 

lmmlasso documentation built on May 2, 2019, 2:16 p.m.