title: Calling error in glmer() with family=gaussian (identity link)
body: <p>I am trying to fix a glmm for a dataframe with 53 obs. of  17 variables. All variables are standardized, but don't follow the normal distribution and have no missing values. The str() of the data frame is something like below.</p>
  
  <ul>
  <li>species    : Factor w/ 19 levels "spp1","spp2",..: 5 18 12 15 19 4 6 14 16 5 ...</li>
  <li>association : Factor w/ 4 levels "assoA","assoB",..: 1 1 2 2 2 3 3 4 4 1 ...</li>
  <li>site      : Factor w/ 2 levels "site1","site2": 1 1 1 1 1 1 1 1 1 2 ...</li>
  <li>obs.no    : int  1 1 1 1 1 1 1 1 1 1 ...</li>
  <li>trait1: num  0.652 0.428 0.535 0.389 0.486 ...</li>
  <li>trait2 : num  0.135 0.16 0.134 0.142 0.159</li>
  <li>(clipped trait3 to 13)</li>
  </ul>
  
  <p>I executed the following code to check the significance between sites an association classes for the given trait.</p>
  
  <pre><code>model1= glmer(trait1 ~ association+site+ (1 | species),data=df6,family=gaussian)
  </code></pre>
  
  <p>and received the error given below.</p>
  
  <blockquote>
    <p>In glmer(trait1 ~ association+site+ (1 | species),data=df6,  :
      calling glmer() with family=gaussian (identity link) as a shortcut to lmer() is deprecated; please call lmer() directly</p>
  </blockquote>
  
  <p>After this I want to estimate parameters with Gauss-Hermite quadrature. Any recommendation to fix this error and code to  execute Gauss-Hermite quadrature is very much appreciated. </p>