[JuliaFormatter] reported by reviewdog 🐶 Raw Output: docs/make.jl:4:-makedocs( docs/make.jl:5:- sitename = "MixedModelsPermutations", docs/make.jl:6:- doctest = true, docs/make.jl:7:- warnonly=[:cross_references], docs/make.jl:8:- pages = [ docs/make.jl:9:- "index.md", docs/make.jl:10:- ], docs/make.jl:11:-) docs/make.jl:4:+makedocs(; sitename="MixedModelsPermutations", docs/make.jl:5:+ doctest=true, docs/make.jl:6:+ warnonly=[:cross_references], docs/make.jl:7:+ pages=["index.md"])

[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/nonparametricbootstrap.jl:40:-function nonparametricbootstrap( src/nonparametricbootstrap.jl:41:- rng::AbstractRNG, src/nonparametricbootstrap.jl:42:- n::Integer, src/nonparametricbootstrap.jl:43:- morig::LinearMixedModel{T}; src/nonparametricbootstrap.jl:44:- progress=true, src/nonparametricbootstrap.jl:45:- β=coef(morig), src/nonparametricbootstrap.jl:46:- residual_method=residuals_from_blups, src/nonparametricbootstrap.jl:47:- blup_method=ranef, src/nonparametricbootstrap.jl:48:- inflation_method=inflation_factor) where {T} src/nonparametricbootstrap.jl:40:+function nonparametricbootstrap(rng::AbstractRNG, src/nonparametricbootstrap.jl:41:+ n::Integer, src/nonparametricbootstrap.jl:42:+ morig::LinearMixedModel{T}; src/nonparametricbootstrap.jl:43:+ progress=true, src/nonparametricbootstrap.jl:44:+ β=coef(morig), src/nonparametricbootstrap.jl:45:+ residual_method=residuals_from_blups, src/nonparametricbootstrap.jl:46:+ blup_method=ranef, src/nonparametricbootstrap.jl:47:+ inflation_method=inflation_factor) where {T}

[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/nonparametricbootstrap.jl:64:- ( src/nonparametricbootstrap.jl:65:- objective = model.objective, src/nonparametricbootstrap.jl:66:- σ = model.σ, src/nonparametricbootstrap.jl:67:- β = NamedTuple{β_names}(fixef!(βsc, model)), src/nonparametricbootstrap.jl:68:- se = SVector{p,T}(stderror!(βsc, model)), src/nonparametricbootstrap.jl:69:- θ = SVector{k,T}(getθ!(θsc, model)), src/nonparametricbootstrap.jl:70:- ) src/nonparametricbootstrap.jl:63:+ return (objective=model.objective, src/nonparametricbootstrap.jl:64:+ σ=model.σ, src/nonparametricbootstrap.jl:65:+ β=NamedTuple{β_names}(fixef!(βsc, model)), src/nonparametricbootstrap.jl:66:+ se=SVector{p,T}(stderror!(βsc, model)), src/nonparametricbootstrap.jl:67:+ θ=SVector{k,T}(getθ!(θsc, model)))

[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/permutation.jl:80:-function permutation( src/permutation.jl:81:- rng::AbstractRNG, src/permutation.jl:82:- n::Integer, src/permutation.jl:83:- morig::LinearMixedModel{T}; src/permutation.jl:84:- progress=true, src/permutation.jl:85:- β::AbstractVector{T}=zeros(T, length(coef(morig))), src/permutation.jl:86:- residual_permutation=:signflip, src/permutation.jl:87:- residual_method=residuals, src/permutation.jl:88:- blup_method=ranef, src/permutation.jl:89:- inflation_method=inflation_factor, src/permutation.jl:90:-) where {T} src/permutation.jl:80:+function permutation(rng::AbstractRNG, src/permutation.jl:81:+ n::Integer, src/permutation.jl:82:+ morig::LinearMixedModel{T}; src/permutation.jl:83:+ progress=true, src/permutation.jl:84:+ β::AbstractVector{T}=zeros(T, length(coef(morig))), src/permutation.jl:85:+ residual_permutation=:signflip, src/permutation.jl:86:+ residual_method=residuals, src/permutation.jl:87:+ blup_method=ranef, src/permutation.jl:88:+ inflation_method=inflation_factor,) where {T}

[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/permutation.jl:108:- ( src/permutation.jl:109:- objective = model.objective, src/permutation.jl:110:- σ = model.σ, src/permutation.jl:111:- β = NamedTuple{β_names}(fixef!(βsc, model)), src/permutation.jl:112:- se = SVector{p,T}(stderror!(βsc, model)), src/permutation.jl:113:- θ = SVector{k,T}(getθ!(θsc, model)), src/permutation.jl:114:- ) src/permutation.jl:106:+ return (objective=model.objective, src/permutation.jl:107:+ σ=model.σ, src/permutation.jl:108:+ β=NamedTuple{β_names}(fixef!(βsc, model)), src/permutation.jl:109:+ se=SVector{p,T}(stderror!(βsc, model)), src/permutation.jl:110:+ θ=SVector{k,T}(getθ!(θsc, model)))