Two algorithms for fitting constrained marginal models.
The two main algorithms that have been considered for fitting constrained marginal models to discrete data, one based on Lagrange multipliers and the other on a regression model, are studied in detail. It is shown that the updates produced by the two methods are identical, but that the Lagrangian method is more efficient in the case of identically distributed observations. A generalization is given of the regression algorithm for modelling the effect of exogenous individual-level covariates, ...Expand abstract
- Publication status:
- Publisher copy:
- Copyright date:
Views and Downloads
If you are the owner of this record, you can report an update to it here: Report update to this record