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statistical testing, linear algebra, machine learning, fitting and signal processing in F#

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**Is your feature request related to a problem? Please describe.** I have datasets where the is a disparity in the scale of the observed vs theoretical distributions. Using the FSharp.Stats...

Hello, It would be interesting to make this library AOT-compatible, for performance benefits. https://devblogs.microsoft.com/dotnet/creating-aot-compatible-libraries/ Also adding .NET 9 as a target framework. I tested AOT compatibility on this repo and...

enhancement

Just a reminder/continuation of https://github.com/fslaborg/FSharp.Stats/pull/352#issuecomment-3172784732. There are some bugged documentation pages that do not contain evaluated values: - Signal Processing - Fit Quality - Normalization

bug

### Describe the bug In the current implementation of TwoWayAnovaModel, the logic for assigning denominator mean squares in F-test creation is incorrect for all three model types. This leads to...

bug

Hi @muehlhaus, @kMutagene and @ZimmerD, @bvenn! ❤️ I've been working on experiments of using near-automatic, repo-centric AI test and perf improvers in some F# repositories. The aim is to use...

question

**Describe the bug** The documentation for the Wilcoxon signed-rank test states: "This implemented test uses a normal distribution approximation (validated against SciPy with mode='approx')." (https://fslab.org/FSharp.Stats/Testing.html#Wilcoxon-Test) However, we are seeing different...

bug