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R does some things really well, and there are some advanced methids available ,but let's be clear, some functions in SPSS are quite advanced, for example SPSS m
by SubiculumCode 10y ago
R does some things really well, and there are some advanced methids available ,but let's be clear, some functions in SPSS are quite advanced, for example SPSS mixed models are more advanced than lme4.
- bobbert_barker 10y agoWhat is more advanced about SPSS mixed models (not accusatory, just ignorant)? It looks like there are more covariance options, but is the estimation/implementation better/more robust or faster?
- SubiculumCode 10y agoWell I may be ignorant also, but as far as I can tell lme4/lmer doesnt have ANY options to specify the variance-covariance matrix while SPSS does. Also, when the number of within subject levels are few, I often find that using the classic repeated measures approach, but estimating using ML/REML (to handle random missing data) on a specified (or unstructured) covariance-variance matrix to be more powerful and/or more likely to converge while accounting for important dependences than mixed models using random effects...SPSS does this kind of analysis easily, but I havent found any equivalent packave in R.
- SubiculumCode 10y agoHM