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.github/workflows/CI.yml

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@@ -29,9 +29,13 @@ jobs:
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- ubuntu-latest
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arch:
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- x64
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- x86
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steps:
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- uses: actions/checkout@v4
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- uses: r-lib/actions/setup-r@v2
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with:
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use-public-rspm: true
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r-version: 'release' # or a fixed version if you prefer
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- run: echo "LD_LIBRARY_PATH=$(R RHOME)/lib:$LD_LIBRARY_PATH" >> $GITHUB_ENV
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- uses: julia-actions/setup-julia@v2
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with:
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version: ${{ matrix.version }}
@@ -57,6 +61,11 @@ jobs:
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- uses: julia-actions/setup-julia@v2
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with:
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version: '1'
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- uses: r-lib/actions/setup-r@v2
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with:
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use-public-rspm: true
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r-version: 'release'
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- run: echo "LD_LIBRARY_PATH=$(R RHOME)/lib:$LD_LIBRARY_PATH" >> $GITHUB_ENV
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- uses: julia-actions/cache@v2
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- name: Configure doc environment
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shell: julia --project=docs --color=yes {0}

src/GeneralUtils.jl

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@@ -22,11 +22,8 @@ Examples:
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```julia-repl
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julia> T = 10*12;
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julia> x = 0.01*(1:T) .+ sin.((1:T)*(2pi/12)) .+ 0.2*randn(T)
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julia> stl_object = stl(x, frequency = 12)
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julia> stl_object
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```
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@@ -50,11 +47,8 @@ R function that decompose a time series into seasonal, trend and irregular compo
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Examples:
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```julia-repl
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julia> T = 10*12;
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julia> x = 0.01*(1:T) .+ sin.((1:T)*(2pi/12)) .+ sin.((1:T)*(2pi/365.25)) .+ 0.2*randn(T)
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julia> mstl_object = mstl(x; seasonal_periods = [12,365.25])
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julia> mstl_object
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```
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