Unstandardised slopes in MuMIN package

Question

I used the MuMIN package to do a model averaging based on information criterion, following this question.

options(na.action = "na.fail") 

Create a global model with all variables and two way interaction:

global.model<-lmer(yld.res ~ rain + brk + 
  onset + wid + (1|state),data=data1,REML="FALSE") 

Standardise the glboal model since the variables are on different scale

stdz.model <- standardize(global.model,standardize.y = TRUE) 

Create all possible combinations of the model

model.set <- dredge(stdz.model) 

Get the best model based on deltaAICc<2 criteria

top.models <- get.models(model.set, subset= delta<2) 

Average the models to calculate the effect size (standardised slopes of the input variables)

s<-model.avg(top.models) 
summary(s);confint(s) 

The effect size of the variables are as follows:

Variable           slope estimate
brk                 -0.28
rain                 0.13
wid                  0.10
onset                0.09

As you can see, I had standardize my model in step 3 so I can compare these slope estimates i.e. I can say slope estimate of brk is greater (in negative direction) than rain. However, since these slope estimates where standardised, I wanted to know if there is any way I can get the unstandardised slopes?

Please let me know if my question is not clear.

Thanks