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9.3 Sample multivar output

Run multivar by typing:

 
multivar polyem_90_par

The output from multivar is straightforward. Toward the end, there are the parameter estimates and the log-likelihood from the last iteration of the EM algorithm. If you chose to fit a null (purely environmental) model, the parameter estimates and log-likelihood are also given. A likelihood ratio test can be used. A conservative test is provided by comparing the test statistic to a chi-squared distribution, with the degrees of freedom being the difference in the numbers of estimated parameters between these two models.

 
 iteration #201:

    additive variance estimates (traits 1, 2)
        0.816    0.037
    covariances
        0.138

    residual variance estimates (traits 1, 2)
        0.223    0.610
    covariances
       -0.239
    
    trait 1
       overall mean      -0.063
    trait 2
       overall mean       1.780
       fixed effect  1   -0.717    0.546
       fixed effect  2   -1.008   -0.552    1.167

 current log-likelihood = -183.098

 estimates of environmental model

    residual variance estimates (traits 1, 2)
        1.136    0.642
    covariances
       -0.102
    
    trait 1
       overall mean       0.062
    trait 2
       overall mean       1.801
       fixed effect  1   -0.773    0.589
       fixed effect  2   -1.010   -0.553    1.170

 environmental model log-likelihood = -197.799



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