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I'm trying to run calculations on the posterior samples of the random effects of a large varying-slope / varying-intercept model. For bureaucratic reasons I'm currently forced to use brms on a government computer that has limited RAM and freezes up when it has to manipulate matrices that are too large. So, calling coef(summary=FALSE) on the full model is not practical, but I think the machine could handle coef(summary=FALSE, pars="smaller_set_of_coefficients").
Would it be possible/easy to add a pars option to the fixef(), ranef(), and coef() functions?
Thank you so much!
Peter
The text was updated successfully, but these errors were encountered:
Hello!
I'm trying to run calculations on the posterior samples of the random effects of a large varying-slope / varying-intercept model. For bureaucratic reasons I'm currently forced to use
brms
on a government computer that has limited RAM and freezes up when it has to manipulate matrices that are too large. So, callingcoef(summary=FALSE)
on the full model is not practical, but I think the machine could handlecoef(summary=FALSE, pars="smaller_set_of_coefficients").
Would it be possible/easy to add a
pars
option to thefixef()
,ranef()
, andcoef()
functions?Thank you so much!
Peter
The text was updated successfully, but these errors were encountered: