library(mgcv)
library(arm)
example<-gamm(mag ~ s(depth), random=list(stations=~1), data=quakes)
summary(example$gam)
#Family: gaussian
#Link function: identity

#Formula:
 # mag ~ s(depth)

#Parametric coefficients:
#  Estimate Std. Error t value Pr(>|t|)
#(Intercept)  5.02300    0.04608     109   <2e-16 ***
#  ---
#  Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

#Approximate significance of smooth terms:
#  edf Ref.df     F p-value
#s(depth) 3.691  3.691 43.12  <2e-16 ***
#  ---
#  Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#
#R-sq.(adj) =  0.0725
#Scale est. = 0.036163  n = 1000

ranef(example$lme)$stations[[1]] # extract random intercepts
#se.ranef(example$lme) # extract se of random intercepts - Problem line - doesn't work?