Update ci.yml

.github/workflows/ci.yml

@@ -7,27 +7,30 @@ on:
     branches:
       - master
     tags: '*'
+  workflow_dispatch:
 jobs:
   test:
     name: Julia ${{ matrix.version }} - ${{ matrix.os }} - ${{ matrix.arch }} - ${{ github.event_name }}
     runs-on: ${{ matrix.os }}
+    continue-on-error: ${{ matrix.version == 'nightly' }}
     strategy:
       fail-fast: false
       matrix:
         version:
-          - '1.6' # Replace this with the minimum Julia version that your package supports. E.g. if your package requires Julia 1.5 or higher, change this to '1.5'.
-          - '1' # Leave this line unchanged. '1' will automatically expand to the latest stable 1.x release of Julia.
+          - '1.9'
+          - '1'
+          # - 'nightly'
         os:
           - ubuntu-latest
         arch:
           - x64
     steps:
-      - uses: actions/checkout@v2
-      - uses: julia-actions/setup-julia@v1
+      - uses: actions/checkout@v4
+      - uses: julia-actions/setup-julia@v2
         with:
           version: ${{ matrix.version }}
           arch: ${{ matrix.arch }}
-      - uses: actions/cache@v1
+      - uses: actions/cache@v4
         env:
           cache-name: cache-artifacts
         with:
@@ -40,6 +43,28 @@ jobs:
       - uses: julia-actions/julia-buildpkg@v1
       - uses: julia-actions/julia-runtest@v1
       - uses: julia-actions/julia-processcoverage@v1
-      - uses: codecov/codecov-action@v1
+      - uses: codecov/codecov-action@v5
         with:
-          file: lcov.info
+          files: lcov.info
+#  docs:
+#    name: Documentation
+#    runs-on: ubuntu-latest
+#    steps:
+#      - uses: actions/checkout@v4
+#      - uses: julia-actions/setup-julia@v2
+#        with:
+#          version: '1'
+#      - run: |
+#          julia --project=docs -e '
+#            using Pkg
+#            Pkg.develop(PackageSpec(path=pwd()))
+#            Pkg.instantiate()'
+#      - run: |
+#          julia --project=docs -e '
+#            using Documenter: doctest
+#            using ForwardDiff
+#            doctest(ForwardDiff)'
+#      - run: julia --project=docs docs/make.jl
+#        env:
+#          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+#          DOCUMENTER_KEY: ${{ secrets.DOCUMENTER_KEY }}

Project.toml

@@ -1,6 +1,6 @@
 name = "InteractiveFixedEffectModels"
 uuid = "80307280-efb2-5c5d-af8b-a9c15821677b"
-version = "1.2.2"
+version = "1.3.0"
 
 [deps]
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
@@ -23,7 +23,7 @@ Vcov = "ec2bfdc2-55df-4fc9-b9ae-4958c2cf2486"
 [compat]
 DataFrames = "0.21, 0.22, 1"
 FillArrays = "0.7, 0.8, 0.9, 0.10, 0.11, 0.12, 0.13, 1"
-FixedEffectModels = "1.5"
+FixedEffectModels = "1.11"
 FixedEffects = "2"
 GroupedArrays = "0.3"
 LeastSquaresOptim = "0.7, 0.8"
@@ -34,7 +34,7 @@ StatsModels = "0.7"
 StatsFuns = "0.9, 1"
 Tables = "1"
 Vcov = "0.8"
-julia = "1.6"
+julia = "1.9"
 
 [extras]
 CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"

README.md

@@ -1,4 +1,4 @@
-[![Build Status](https://travis-ci.com/FixedEffects/InteractiveFixedEffectModels.jl.svg?branch=master)](https://travis-ci.com/FixedEffects/InteractiveFixedEffectModels.jl)
+[![Build status](https://github.com/matthieugomez/InteractiveFixedEffectModels.jl/workflows/CI/badge.svg)](https://github.com/matthieugomez/InteractiveFixedEffectModels.jl/actions)
 [![Coverage Status](https://coveralls.io/repos/matthieugomez/InteractiveFixedEffectModels.jl/badge.svg?branch=master&service=github)](https://coveralls.io/github/matthieugomez/InteractiveFixedEffectModels.jl?branch=master)
 
 ## Installation

test/factormodel.jl

@@ -1,36 +1,36 @@
 using DataFrames, InteractiveFixedEffectModels,Test, CSV
-df = df = DataFrame(CSV.File(joinpath(dirname(pathof(InteractiveFixedEffectModels)), "../dataset/Cigar.csv")))
+df = DataFrame(CSV.File(joinpath(dirname(pathof(InteractiveFixedEffectModels)), "../dataset/Cigar.csv")))
 
 for method in [:gauss_seidel,  :dogleg, :levenberg_marquardt]
 	println(method)
 	model = @formula Sales ~ 0 + ife(State, Year, 1)
-	result = regife(df, model, method = method, maxiter = 10_000)
+	result = regife(df, model, method = method, maxiter = 10_000, save = true)
 	@test abs(result.augmentdf[1, :factors1]) ≈ 0.18662770198472406 atol = 1e-1
 	@test abs(result.augmentdf[1, :loadings1]) ≈ 587.2272 atol = 1e-1
 	@test result.augmentdf[1, :residuals] ≈ - 15.6928 atol = 1e-1
 
 	model = @formula Sales ~ 0 + ife(State, Year, 2)
-	result = regife(df, model, method = method, maxiter = 10_000)
+	result = regife(df, model, method = method, maxiter = 10_000, save = true)
 	@test abs(result.augmentdf[1, :factors1])  ≈ 0.18662770198472406 atol = 1e-1
 	@test abs(result.augmentdf[1, :loadings1])  ≈ 587.227 atol = 1e-1
 	@test result.augmentdf[1, :residuals] ≈ 2.16611 atol = 1e-1
 
 	model = @formula Sales ~ ife(State, Year, 1) + fe(State)
-	result = regife(df, model, method = method, maxiter = 10_000)
+	result = regife(df, model, method = method, maxiter = 10_000, save = true)
 	@test abs(result.augmentdf[1, :factors1])   ≈ 0.17636 atol = 1e-1
 	@test abs(result.augmentdf[1, :loadings1])  ≈ 20.176432452716522 atol = 1e-1
 	@test result.augmentdf[1, :residuals]  ≈ - 10.0181 atol = 1e-1
 	@test result.augmentdf[1, :fe_State]  ≈ 107.4766 atol = 1e-1
 
 	model = @formula Sales ~ ife(State, Year, 2) + fe(State)
-	result = regife(df, model, method = method, maxiter = 10_000)
+	result = regife(df, model, method = method, maxiter = 10_000, save = true)
 	@test abs(result.augmentdf[1, :factors2]) ≈ 0.244 atol = 1e-1
 	@test abs(result.augmentdf[1, :loadings2]) ≈ 49.7943 atol = 1e-1
 	@test result.augmentdf[1, :residuals]  ≈ 2.165319 atol = 1e-1
 	@test result.augmentdf[1, :fe_State]  ≈ 107.47666 atol = 1e-1
 
 	model = @formula Sales ~ ife(State, Year, 2) + fe(State)
-	result = regife(df, model, subset = df.State .<= 30, method = method, maxiter = 10_000)
+	result = regife(df, model, subset = df.State .<= 30, method = method, maxiter = 10_000, save = true)
 	@test size(result.augmentdf, 1) == size(df, 1)
 	@test abs(result.augmentdf[1, :factors1])  ≈ 0.20215 atol = 1e-1
 	@test abs(result.augmentdf[1, :loadings1]) ≈ 29.546 atol = 1e-1