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*Note from @mdhaber: This is a deep issue that is slated to be addressed as part of [this project](https://chanzuckerberg.com/eoss/proposals/scipy-fundamental-tools-for-biomedical-research/). Before c…
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Hi, I have noticed that the package has the exact optimal transport plan for univariate Gaussian implemented. Before finding your package, I was unable to locate the exact optimal transport plan for u…
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Hi @csgillespie thanks first of all for this awesome package!
Related to #17 and maybe #63 , is it possible to have an option to right-truncate the data, say by having a `setXmax` method for each …
hrlai updated
2 years ago
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Hi Kau,
I'm re-running some analysis with FAN-C and created a fresh virtual environment to install into. Using `pip install fanc` I installed the package and its dependencies. Automatically, matplo…
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I'm trying to setup InverseWishart prior in my Turing.jl model as follows:
τ ~ filldist(InverseWishart(2+1, Matrix{Float64}([[3,0.5] [0.5,3]])), 10)
and getting error message:
MethodError: no…
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```
julia> rand(Poisson(1e20))
ERROR: InexactError: Int64(Int64, 9.999999997262139e19)
Stacktrace:
[1] Type at ./float.jl:700 [inlined]
[2] convert at ./number.jl:7 [inlined]
[3] rand(::Poiss…
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Sorry if this issue looks ridiculous.
What is the required type of the arguments 'mu' and 'nu' of the function `wasserstein()`?
Is it also possible to pass two `Vector{Float64}`'s (currently that…
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Hey,
Thanks for this great addition to the ecosystem !
From Distribution.jl, it seems like the first argument to the fit_mle function should be the distributions type and not an instance of the…
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In case of
```
BinomialTest(0, 2)
```
I get
ERROR: ArgumentError: Beta: the condition α > zero(α) && β > zero(β) is not satisfied.
Might be in beta.jl
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There are two inconsistencies in how MvTDist can be accessed:
- Both `TDist(3)` and `TDist(3.0)` work, but for the multivariate version an Int64 for degrees of freedom fails, i.e. `MvTDist(3,[0.,0.],[…