ility of the model is critical. This
may happen especially with splines parameters that may be too close to 0
(lower boundary) or classmb parameters that are too high or low (perfect
classification). When identifiability of some parameters is suspected, the
program can be run again from the former estimates by fixing the suspected
parameters to their value with option posfix. This usually solves the
problem. An alternative is to remove the parameters of the Beta of Splines
link function from the inverse of 