model = 
<strong>Linear mixed-effects model fit by ML</strong>

<strong>Model information:</strong>
    Number of observations              16
    Fixed effects coefficients           2
    Random effects coefficients          8
    Covariance parameters                4

<strong>Formula:</strong>
    undefined2sleep_ratio ~ 1 + movement + (1 + movement | mouse)

<strong>Model fit statistics:</strong>
    AIC       BIC       LogLikelihood    Deviance
    1.4213    6.0569    5.2893           -10.579 
<strong>Fixed effects coefficients (95% CIs):</strong>
    Name                          Estimate    SE         tStat      DF    pValue        Lower      Upper  
    {'(Intercept)'       }        -1.3319     0.07937    -16.781    14    1.1439e-10    -1.5021    -1.1617
    {'movement_headfixed'}        0.46247     0.10857     4.2597    14    0.00079302    0.22961    0.69532
<strong>Random effects covariance parameters (95% CIs):</strong>
Group: mouse (4 Levels)
    Name1                         Name2                         Type            Estimate    Lower       Upper  
    {'(Intercept)'       }        {'(Intercept)'       }        {'std' }         0.10262    0.017181    0.61292
    {'movement_headfixed'}        {'(Intercept)'       }        {'corr'}        -0.94584          -1    0.99988
    {'movement_headfixed'}        {'movement_headfixed'}        {'std' }         0.14374    0.027548    0.75002
Group: Error
    Name               Estimate    Lower       Upper 
    {'Res Std'}        0.15798     0.096172    0.2595