title: Getting standardized coefficients for a glmer model?
body: <p>I've been asked to provide standardized coefficients for a <code>glmer</code> model, but am not sure how to obtain them. Unfortunately, the <a href="https://rdrr.io/cran/reghelper/man/beta.html" rel="nofollow noreferrer"><code>beta</code></a> function  does not work on <code>glmer</code> models:</p>
  <pre><code>Error in UseMethod(&quot;beta&quot;) : 
    no applicable method for 'beta' applied to an object of class &quot;c('glmerMod', 'merMod')&quot;
  </code></pre>
  <p>Are there other functions I could use, or would I have to write one myself?</p>
  <p>Another problem is that the model contains several continuous predictors (which operate on similar scales) and 2 categorical predictors (one with 4 levels, one with six levels). The purpose of using the standardized coefficients would be to compare the impact of the categorical predictors to those of the continuous ones, and I'm not sure that standardized coefficients are the appropriate way to do so. Are standardized coefficients an acceptable approach?</p>
  <p>The model is as follows:</p>
  <pre><code>model=glmer(cbind(nr_corr,maximum-nr_corr) ~ (condition|SUBJECT) + categorical_1 + categorical_2 + continuous_1 + continuous_2 + continuous_3 + continuous_4 + categorical_1:categorical_2 + categorical_1:continuous_3, data, control=glmerControl(optimizer=&quot;bobyqa&quot;, optCtrl=list(maxfun=100000)), family = binomial)
  </code></pre>