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estimate_errors: Type of error #64

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AndiMD opened this Issue Mar 22, 2018 · 4 comments

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AndiMD commented Mar 22, 2018

Hi,

The type of error measure returned might be confusing.
In applications like QtiPlot/SciDaVis the returned error is just the square root of the covariance diagonal.
Can we make the scaling with quantile(TDist(N), alpha) an optional keyword?

Thanks,
Andreas

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pkofod commented Mar 22, 2018

We could have a standard_error function and a confidence_interval function instead, is that sort of what you're asking for?

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AndiMD commented Mar 22, 2018

Yes, I think this would definitely be useful.

@iewaij

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iewaij commented Mar 22, 2018

Sounds good, I'll be working on them. The PR adding goodness of fit seems to have standard_error as a field. Do we still need standard_error as a function?

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pkofod commented Mar 23, 2018

Do we still need standard_error as a function?

Yes it is a good idea to have a function that simply grabs the field and returns it. That way users don't (have to) access the fields directly. It gives us more flexibility wrt changing names of things and so on.

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