Features

• Likelihood-based statistical inference for sophisticated statistical models
  • Profile-likelihood-based confidence intervals for general parametric functions
  • Likelihood ratio test for general parametric hypotheses
  • Maximum likelihood estimates

• Large collection of generalized statistical distributions and models
• Generalized regression models
• Generalized stochastic and hierarchical models
• Generalized hidden Markov models
• Automatic handling of censored data
• Random observation from any statistical distribution or model
• Symbolic computation of statistical model properties