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## 2016-03-30

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@base698 that depends on the method you want to use to fit it - so basically a philosophical question . I'm doing some bayesian stuff, so I created the whole lib whose main purpose is exactly to find the posterior distribution from data (and prior). But, you are probably looking for a function to do MLE? Or literally for the matching alternative to R's fitdistr?

anyone know how to do a relational style join based on keys with 2 core.matrix.dataset types?

just wondering if I need to convert or if it can be done. join-rows doesn't seem to do what I want

@blueberry: I'm not really sure, i'm trying to adapt some old code that was in R. it uses fitdistr to get the estimate then does this: Which I'm not really sure is actually the log normal mean.

```
(defn log-normal-mean
[fitm m2]
(let [fitsd (/ (Math/sqrt m2) 10.0)]
(Math/pow Math/E (+ fitm (/ (* fitsd fitsd) 2.0)))))
```

I'm doing it incrementally with the online-variance algorithm so I don't have to keep the raw data in memory.