title: Meaning of SE for lsmeans type="response"
body: <p>am trying to plot a Poisson model on scale of original response variable. My advisor would like me to plot mean +/- SE for egg production by bumble bees.</p>
  
  <p>I don't understand the meaning of the 'SE' term when using "type="response"". On the scale of the linear predictor, the CI's and SE's are symmetric about the mean. When the data frame is manually exponentiated, the CI's become asymmetric and match the output for lsmeans with "type="response"". However there is only one column for the "SE". Why are there not 2 columns, to account for asymmetry when transforming the (mean+/-SE) from the log scale?
  Thanks for your help!</p>