So what options are there for evaluating the significance of the main effects, and for diagnostics within the julia's MixedModels package?
On Friday, June 17, 2016 at 9:52:05 PM UTC+1, Douglas Bates wrote: > > On Friday, June 17, 2016 at 4:26:35 AM UTC-5, Carlos Familia wrote: >> >> Hello, >> >> I was wondering if it is possible to take the residuals from a lmm model >> and if there is any lsmeans package for post-hocs in julia? >> > > There is no lsmeans package that I know of and it is highly unlikely that > I will ever write one, but someone else may. > > As for residuals, like many other properties of mixed-effects models, you > need to be careful how you define them. You need to decide if the random > effects are included in the fitted values or not. Perhaps it is better to > define a fitted method for LinearMixedModel, which can then be the basis of > a residuals method. > > Could you open an issue in the MixedModels repository? It is probably > better to have this discussion there. > > The reason that I say it is unlikely I will write any lsmeans code is > because lsmeans are a bizarre SAS construction from the days when we stored > data on magnetic tape and programs on punched card decks. It would take so > long to get a single model fit that users wanted every possible inference > or diagnostic value calculated from the model, whether or not they made > sense. > -- You received this message because you are subscribed to the Google Groups "julia-stats" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
