How to get coefficients and their confidence intervals in mixed effects models?

Question

In lm and glm models, I use functions coef and confint to achieve the goal:

m = lm(resp ~ 0 + var1 + var1         


        

Answer 1

To find the coefficient, you can simply use the summary function of lme4

m = lm(resp ~ 0 + var1 + var1:var2) # var1 categorical, var2 continuous
m_summary <- summary(m)

to have all coefficients :

m_summary$coefficient

If you want the confidence interval, multiply the standart error by 1.96:

CI <- m_summary$coefficient[,"Std. Error"]*1.96
print(CI)