Oskar Laverny

Simplified import from `Distributions.jl`

2

Hi, I would like to know if it was on purpose that distributions are re-implemented and not pulled from `Distributions.jl` framework ? And why so ? Is there / could...

Hi, The library (which is perfect btw) provides the bell completes polynomials. Do you think you could also add incompletes ones ? The following code is an exemple of possible...

Repetitive solving

3

I have a non-increasing function $f$ on $\mathbb R_+$ that starts at $f(0) =1$ and ends up at $f(Inf) = 0$. I want to compute the inverse of the function,...

What about `gamma_inc_inv`'s derivative ?

2

I am hitting the following issue : ````julia ERROR: MethodError: no method matching __gamma_inc_inv(::ForwardDiff.Dual{...}, ::ForwardDiff.Dual{...}, ::Bool) ```` Is there somewhere an implementation for such a derivative ? I guess the...

[feature request] Generic fallback for non-supported distributions ?

2

It would be neat if there was a generic fallback for non-supported distributions. I can come up with a simple solution for continuous distributions: ```julia # fallback for UnivariateContinuousDistribution import...

[feature request] The pareto case

1

The Pareto case could be handled by using the fact that if $X$ is Pareto-dsitributed with minimal value $m$ and shape index $\alpha$, then $$Y = log(X) - log(m)$$ is...

I ran into a hole in the mesh of methods. Convertion from Complex is ambiguous since there is a function that creates a multifloat from limbs. Defining : ```` MultiFloat{T,...

I have the following stacktrace: ```julia ERROR: ^ not defined for MultiFloat{Float64, 4} Stacktrace: [1] error(::String, ::String, ::Type) @ Base .\error.jl:42 [2] no_op_err(name::String, T::Type) @ Base .\promotion.jl:395 [3] ^(x::MultiFloat{Float64, 4},...

Doing some optimisations, I encountered the lack of rounding method for MultiFloats: ```julia ERROR: MethodError: no method matching round(::MultiFloat{Float64, 4}, ::RoundingMode{:Up}) Closest candidates are: round(::Real, ::RoundingMode; digits, sigdigits, base) at...

Something specific for pFq([a,a],[a+1,a+1],-x) ?

2

Hey, I do not know deeply what are the algorithms implemente din this package, but I needed the derivative of `gamma_inc` for my gradient decent and implemented it [there](https://discourse.julialang.org/t/how-to-tell-forwarddiff-what-i-want-it-to-do/93167/7), using...