Bernoulli mixed model calling std function with non-existing kwarg normalize

[Cong-SUN]

in TuringGLM/0rvqL/src/turing_model.jl:266 it uses std(y; normalize=true), but this function actually doesn't accept normalize as a kwarg: std(x::AbstractArray, w::AbstractWeights, [dim]; mean=nothing, corrected=false).

[penelopeysm]

TuringGLM.jl/src/turing_model.jl

Line 266 in 7f2a849

std_y=std(y; normalize=true),

[rikhuijzer]

in TuringGLM/0rvqL/src/turing_model.jl:266 it uses std(y; normalize=true), but this function actually doesn't accept normalize as a kwarg: std(x::AbstractArray, w::AbstractWeights, [dim]; mean=nothing, corrected=false).

Thanks for reporting this @Cong-SUN. Do you have a reproducible example? What model did you run to get this error? Maybe we can then add a new test that avoids this problem to reappear in the future.