Comments (4)
I think gamma
and erf
could stay in base for a little longer than bessel, airy, and higher-order gamma derivatives
from specialfunctions.jl.
depends what packages would need to depend on this one after we eventually remove these from base. probably okay since that will be 0.6 at the earliest.
from specialfunctions.jl.
I think which packages will depend on this one depends on the scope of the removal from base (ref #12). If gamma
moves out of base, the number of packages that need this will be much higher. One example that comes to mind is JuliaStats/Distributions.jl. And if error functions are moved out, JuliaStats/StatsBase.jl will need this too.
from specialfunctions.jl.
Sounds like a good plan.
from specialfunctions.jl.
Related Issues (20)
- Add logabsgamma(::Complex) HOT 3
- incorrect reference HOT 2
- Address known-broken ChainRules tests
- Add gamma(::Complex{BigFloat}) HOT 1
- Inverse of erfi
- Reduce/remove inner allocations (e.g. `gamma_inc_taylor`, `gamma_inc_asym`) HOT 9
- Segfault in besselj HOT 2
- Regularized Kumer Functions? HOT 1
- Generalize beta, logbeta, etc. to any number of arguments
- Accuracy of `digamma` function can be improved HOT 1
- What about `gamma_inc_inv`'s derivative ? HOT 2
- `expint(nu,z)` has bad precision for `nu != 1`
- Failing to build on Apple M1 Sonoma HOT 1
- Registering Functions with `Symbolics.jl` HOT 1
- Large negative real number arguments return NaN for expintx HOT 1
- Rewrite all AMOS code in julia HOT 5
- Internals of the incomplete gamma function does not work with `ForwardDiff.jl`'s `Dual()` type due to enforced floating point precision HOT 4
- Extensive use of abs for complex tolerances HOT 2
- Allocations in the sum over a product of `besselj(::Int64, ::Float32)`
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from specialfunctions.jl.