Retrieving standard deviation from glm and glmer For my thesis I've conducted several GLM's and GLMM's. Now for my report I need standard deviation values, however the summary tables of my models only produce Std error values.
pd_m1 <- glmer(variable ~ male_plumage*sex + X.nestlings + (1|nest_ID), family = "Gamma", data=pd)

Coefficients:
                          Estimate Std. Error t value Pr(>|t|)   
(Intercept)                0.68318    0.58889   1.160  0.25616   
male_plumagebrownish       0.26249    0.32182   0.816  0.42185   
sexm                      -0.90016    0.24890  -3.617  0.00121 **
X.nestlings                0.26867    0.15925   1.687  0.10310   
male_plumagebrownish:sexm -1.30896    0.76705  -1.706  0.09940 . 

Is there a way for me to get sd values per factor like in the table above std. error?
Thanks for your help!

Standard error is a standard deviation (in a specific setting).
https://en.m.wikipedia.org/wiki/Standard_error

The standard error (SE) of a statistic (usually an estimate of a parameter) is the standard deviation of its sampling distribution or an estimate of that standard deviation.


For the sake of hypothesis testing you might also consider correlation between the different parameters. When you are adding an interaction term, then this may influence the t-value of main effects.
why does the same variable have a different slope when incorporated into a linear model with multiple x variables
