On Thu, Oct 18, 2012 at 08:13:52AM -0400, Patrick Meyer wrote: > I vote for simplicity. Current practice in the social sciences is to fit > multiple models, each with a different number of components, and use fit > statistics to choose the best model.
So... Do you vote for the current proposal (as in the latest attachment on the JIRA page)? [Sorry for being dense. :-)] [The (simple) "mixture model" code could be in 3.1, due to be out a couple of weeks _ago_. :-}] > > There are some additional features I would like to see added and I have the > code to contribute if it is not currently there. To be consistent with > Mplus, we need have the algorithm use multiple random starts and run a few > of the best starts to completion. Mplus uses this strategy to effectively > overcome local minima. Proposals welcome; please open a feature request with an outline of the implementation. Thanks, Gilles > [...] --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org For additional commands, e-mail: dev-h...@commons.apache.org
