Closed strengejacke closed 5 years ago
No, weights have not been implemented yet. Do you want to use them for specific purposes?
On 1/21/2019 5:54 PM, Daniel wrote:
Is it possible to use weights in |mixed_model()|? I haven't found anything in the help files.
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Sometimes, e.g. in case of panel attrition, we use response propensity weights in our models. Or in case of analyzing survey-data, you may have a weighting-variable that can be used in standard regression or mixed models, without the need for a specific survey design.
Two surveys come to my mind where weights are required, e.g. when using mixed models to analyse the data: European Social Survey and German Ageing Survey.
Would you say it's difficult to implement such a feature?
A weights
argument has been added in mixed_model()
. These are simple multipliers on the log-likelihood contributions of each group/cluster, i.e., we presume that there are multiple replicates of each group/cluster denoted by the weights.
btw, you have changed the structure of how the model frames (like x$model_frames$mfX_zi
) are saved in MixMod-objects with the last update? Is there a reason for this?
Yes, because I’m working on the extension to nested random effects.
From: Daniel notifications@github.com Sent: Friday, June 28, 2019 11:57 AM To: drizopoulos/GLMMadaptive GLMMadaptive@noreply.github.com Cc: D. Rizopoulos d.rizopoulos@erasmusmc.nl; State change state_change@noreply.github.com Subject: Re: [drizopoulos/GLMMadaptive] weights in mixed_model()? (#6)
btw, you have changed the structure of how the model frames (like x$model_frames$mfX_zi) are saved in MixMod-objects with the last update? Is there a reason for this?
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ok, thanks! It broke the insight pkg on CRAN, but the issue is already fixed and I'm planning to submit soon.
Is it possible to use weights in
mixed_model()
? I haven't found anything in the help files.