what is the use of simulated data? #150
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I practiced the tutorial, and ran the Test_data (Primate_data) following 'Test_data_readMe.docx' included in the CAFE5 package. Now I understand most of functions and their logics. However one thing I may need help to understand is the simulation. I simulated and analyzed the data, including estimating lambda etc, but still wondering what I can do with this--the tutorial doesn't have any further information after the simulation. I will greatly appreciate if anyone help me with this. |
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Replies: 1 comment
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The simulation is useful when you want to compared models with different numbers of parameters. The likelihoods of these models are not chi-squared distributed, so you can simulate the null model to determine whether it is sensible to accept the model with more parameters. matt |
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The simulation is useful when you want to compared models with different numbers of parameters. The likelihoods of these models are not chi-squared distributed, so you can simulate the null model to determine whether it is sensible to accept the model with more parameters.
matt