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It would be great for time-series data (or univariate data) to detect anomalous data in a table. This needs to work well with both data frames and database tables.
The text was updated successfully, but these errors were encountered:
@ArmanAttaran Thanks for forwarding this to me. It was a good read, unfortunately there’s no R package by the authors for using their methodology. I found an earlier R package by one of the authors use part of what they described but it’s a much earlier work.
Ok I will take a crack at it for my own use and keep you posted; it will
most likely use Stan as the engine so I’m not sure if it will be useful for
you.
If you could develop a reproducible method (and have it in a package on CRAN), I’d use it even if it had the rstan dependency tree (I’d make it a suggested package). Let me know if I could be of assistance, also.
It would be great for time-series data (or univariate data) to detect anomalous data in a table. This needs to work well with both data frames and database tables.
The text was updated successfully, but these errors were encountered: