[InverseGaussian?] Distribution printing syntax is almost, but not exactly, a valid julia code (named argument support)

[LebedevRI]

julia> InverseGaussian{Float64}(1.423771698898998, 117.32913311572386)
InverseGaussian{Float64}(μ=1.423771698898998, λ=117.32913311572386)
julia> InverseGaussian{Float64}(μ=1.423771698898998, λ=117.32913311572386)
MethodError: no method matching InverseGaussian{Float64}(; μ::Float64, λ::Float64)

Closest candidates are:
  InverseGaussian{T}(::T, ::T) where T<:Real got unsupported keyword arguments "μ", "λ"
   @ Distributions ~/.julia/packages/Distributions/nmUhn/src/univariate/continuous/inversegaussian.jl:29


Stacktrace:
 [1] top-level scope
   @ In[13]:1

It would be nice if there was roundtripping support, it seems like just a missing constructor.
Not sure which other distributions are affected.