Proc MIXED - start value [Software]

posted by ElMaestro  – Denmark, 2014-10-11 23:18 (3844 d 20:20 ago) – Posting: # 13689
Views: 38,512

Hi Yung-jin,

(if I may chime in)

❝ However, I still wonder how to set it up. Could you share the results (incl. codes) here with and without PARMS option to run PROC MIXED here? I don't have SAS and dataset to try this.:-D I was wondering the PARMS is for the fixed effects and random effects (the model), not for the covariance parameters.


❝ ❝ The PARMS statement specifies initial values for the covariance parameters, or it requests a grid search over several values of these parameters. ..."



Means: The PARMS statement gives you control of starter values for the random effects - these are the covariances.


❝ I did find that there is an option (start) in nlme(). This start option is an optional numeric vector, or list of initial estimates for the fixed effects and random effects. If declared as a numeric vector, it is converted internally to a list with a single component fixed, given by the vector. The fixed component is required, unless the model function inherits from class selfStart, in which case initial values will be derived from a call to nlsList....


❝ So I don't think that this option (start) is for setting the initial values of covariance parameters.


This is a bit mumbojumbo. As above, inits for the random effects might be what you are looking for but I don't know is meant by the list with a single component fixed.

Pass or fail!
ElMaestro

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