- General discrete state and action spaces
- Model, data, algorithm separation of concerns
- Fit the model to a dataset
- Simulate data from a fitted model
- OPG confidence interval calculation on a fitted model
- Add function based transitions
- Add support for temporal transition
- Add methods to support comparing models
- Parametric bootstrap
- Resampling bootstrap
- Cross-validation
- Nested Pseudo Likelihood
- Mathematical Program with Equilibrium Constraints (MPEC)
- Expectation Maximization (to account for across individual heterogeneity)
- LR, Wald, Lagrange multiplier tests