Hey Colin - could you send a link or reference to that? Sounds like something I'd like to read up on.
I'd really like to see a solid factor analysis implementation soon. As Diego said I think SciKitLearn.jl is the best stopgap option at the moment. On Jun 26, 2016 4:43 PM, <[email protected]> wrote: > I haven't seen anything yet on traditional common factor analysis by > maximum likelihood. Depending on your problem, you might be able to use > principal components instead which is implemented in > MultivariateStats.jl... e.g. in dual-asymptotic framework, simple > transformations of the first k principal components are consistent > estimators of the space-spanned by a k-dimensional common factor space. > > Cheers, > > Colin > > On Sunday, 26 June 2016 08:18:27 UTC+10, Jessica Koh wrote: >> >> Hello, >> >> Is factor analysis currently being developed? >> > -- > 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. > -- 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.
