galamm-glmm.md
In galamm: Generalized Additive Latent and Mixed Models

Logistic GLMM with simple factor works

Code
  summary(mod)
Output
  GALAMM fit by maximum marginal likelihood.
  Formula: form
     Data: dat

       AIC      BIC   logLik deviance df.resid 
     315.3    353.8   -146.7    224.7      234

  Scaled residuals: 
      Min      1Q  Median      3Q     Max 
  -2.5366 -0.7186  0.4074  0.5952  1.5062

  Lambda:
          abil.sid     SE
  lambda1   1.0000      .
  lambda2   1.0765 1.0012
  lambda3   0.8904 0.5977
  lambda4   0.7358 0.5887
  lambda5   1.2040 1.0143

  Random effects:
   Groups     Name     Variance Std.Dev.
   sid:school abil.sid 1.631    1.277   
   school     abil.sid 0.000    0.000   
  Number of obs: 245, groups:  sid:school, 49; school, 4

  Fixed effects:
              Estimate Std. Error z value Pr(>|z|)
  (Intercept)   0.6079     0.4118  1.4763   0.1399
  item2         0.9278     0.7036  1.3185   0.1873
  item3        -0.6684     0.4927 -1.3566   0.1749
  item4         0.3654     0.5292  0.6906   0.4898
  item5         0.3130     0.5966  0.5246   0.5999