# Starting values in a univariate ACE model

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lior abramson
Joined: 07/21/2017

Forums

Hi,

I am very new to twin analyses in general, and even newer to openMX.

I have tried to perform a simple univariate ACE model using paths specifications. I followed the example called "ACE model: A twin analysis" (section 2.5.1) in the openMX user guide.

I am very new to twin analyses in general, and even newer to openMX.

I have tried to perform a simple univariate ACE model using paths specifications. I followed the example called "ACE model: A twin analysis" (section 2.5.1) in the openMX user guide.

Could someone please explain what is the meaning of the starting values of 'A', 'C', and 'E' that should be specified in the model? In the example in the user guide, they gave all latent factors the starting value of .5 in the ACE model, and values of .6 to the free paths (A and E) in the alternative AE model. Did they decide on these values based on general assumptions of the model or based on specific characteristics of the data set that they used?

In short:

1) how do you know what to specify as starting values of the estimated latent factors, A, C, and E?

2) in a similar manner, how do you know what to specify as a starting value of the mean of the observed variable (which should also be estimated in the model)?

Thank you so much

## start values

`var()`

in R, dividing it by 3, and taking the square root. Likewise, you can get a decent start value for the phenotypic mean via`mean()`

in R.See also:

`mxTryHard()`

,`mxAutoStart()`

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