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Comparing REML models
The Akaike Information Criterion (AIC) and
the Bayesian Information Criterion (BIC) are defined in equation 2.15
of the User Guide.
For comparing nested variance models we recommend the Likelihood Ratio test.
The AIC and BIC are provided for the convenience of users but without
any recommendation from us. A problem in complex models is the counting
of the number of parameters. The value used in calculating AIC and BIC
is reported giving the opportunity for the user to verify/modify that value.
All these statistics, being based on the REML LogLikeihood statistics
are only valid if the fixed effects model is unchanged between runs and,
given it is usually over parameterised, is fitted
in the same order (i.e. the same effects are aliased).
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