Description
Provides functions to estimate mixed probit models using, for
instance, pedigree data like in . The models are also
commonly called liability threshold models. The approximation is
based on direct log marginal likelihood approximations like the randomized
Quasi-Monte Carlo suggested by with a similar
procedure to approximate the derivatives. The minimax tilting method
suggested by is also supported. Graph-based methods
are also provided that can be used to simplify pedigrees.