aML 4.0

Analyzes multilevel and multiprocess models and supports continuous outcomes, categorical outcomes, hazard outcomes and duration outcomes.

aML is a statistical software package for estimating multilevel, multiprocess models. Multilevel refers to the capability of handling repeated measures of outcomes; the number of levels may be arbitrarily large.
Multiprocess refers to the capability of jointly estimating several outcome types, with residuals that may be correlated across outcome types.
Many generalizations are supported, such as selection models, random coefficients models, growth models, ordered probit/logit models, sequential probit/logit models, multinomial probit/logit models.