CompatHelper: bump compat for AbstractMCMC to 4, (keep existing compat)

.github/workflows/CI.yml

@@ -20,7 +20,7 @@ jobs:
     strategy:
       matrix:
         version:
-          - '1.0'
+          - '1.3'
           - '1'
           - 'nightly'
         os:
@@ -43,16 +43,7 @@ jobs:
         with:
           version: ${{ matrix.version }}
           arch: ${{ matrix.arch }}
-      - uses: actions/cache@v1
-        env:
-          cache-name: cache-artifacts
-        with:
-          path: ~/.julia/artifacts
-          key: ${{ runner.os }}-test-${{ env.cache-name }}-${{ hashFiles('**/Project.toml') }}
-          restore-keys: |
-            ${{ runner.os }}-test-${{ env.cache-name }}-
-            ${{ runner.os }}-test-
-            ${{ runner.os }}-
+      - uses: julia-actions/cache@v1
       - uses: julia-actions/julia-buildpkg@v1
       - uses: julia-actions/julia-runtest@v1
         with:

.github/workflows/Docs.yml

@@ -18,14 +18,12 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v2
-      - uses: julia-actions/setup-julia@latest
+      - uses: julia-actions/setup-julia@v1
         with:
           version: '1'
-      - name: Install dependencies
-        run: julia --project=docs/ -e 'using Pkg; Pkg.develop(PackageSpec(path=pwd())); Pkg.instantiate()'
       - name: Build and deploy
+        uses: julia-actions/julia-docdeploy@v1
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} # For authentication with GitHub Actions token
           DOCUMENTER_KEY: ${{ secrets.DOCUMENTER_KEY }} # For authentication with SSH deploy key
           JULIA_DEBUG: Documenter # Print `@debug` statements (https://github.com/JuliaDocs/Documenter.jl/issues/955)
-        run: julia --project=docs/ docs/make.jl

Project.toml

@@ -1,7 +1,7 @@
 name = "EllipticalSliceSampling"
 uuid = "cad2338a-1db2-11e9-3401-43bc07c9ede2"
 authors = ["David Widmann <david.widmann@it.uu.se>"]
-version = "0.4.7"
+version = "0.5.0"
 
 [deps]
 AbstractMCMC = "80f14c24-f653-4e6a-9b94-39d6b0f70001"
@@ -11,10 +11,10 @@ Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 
 [compat]
-AbstractMCMC = "3.2"
+AbstractMCMC = "3.2, 4"
 ArrayInterface = "2, 3, 4, 5"
 Distributions = "0.22, 0.23, 0.24, 0.25"
-julia = "1"
+julia = "1.3"
 
 [extras]
 Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"

test/simple.jl

@@ -33,6 +33,13 @@
             @test all(length(x) == 2_000 for x in samples)
             @test mean(mean, samples) ≈ μ atol = 0.05
             @test mean(var, samples) ≈ σ² atol = 0.05
+
+            # initial parameter
+            init_x = randn(5)
+            samples = sample(
+                ESSModel(prior, ℓ), ESS(), alg, 10, 5; progress=false, init_params=init_x
+            )
+            @test map(first, samples) == init_x
         end
 
         # initial parameter
@@ -66,6 +73,13 @@
             @test all(length(x) == 2_000 for x in samples)
             @test mean(mean, samples) ≈ μ atol = 0.05
             @test mean(var, samples) ≈ σ² atol = 0.05
+
+            # initial parameter
+            init_x = randn(5)
+            samples = sample(
+                ESSModel(prior, ℓ), ESS(), alg, 10, 5; progress=false, init_params=init_x
+            )
+            @test map(first, samples) == init_x
         end
 
         # initial parameter
@@ -100,6 +114,13 @@
             @test all(length(x) == 2_000 for x in samples)
             @test mean(mean, samples) ≈ μ atol = 0.05
             @test mean(var, samples) ≈ σ² atol = 0.05
+
+            # initial parameter
+            init_x = [randn(1) for _ in 1:5]
+            samples = sample(
+                ESSModel(prior, ℓvec), ESS(), alg, 10, 5; progress=false, init_params=init_x
+            )
+            @test map(first, samples) == init_x
         end
 
         # initial parameter
@@ -136,6 +157,13 @@
             @test all(length(x) == 2_000 for x in samples)
             @test mean(mean, samples) ≈ μ atol = 0.05
             @test mean(var, samples) ≈ σ² atol = 0.05
+
+            # initial parameter
+            init_x = [randn(1) for _ in 1:5]
+            samples = sample(
+                ESSModel(prior, ℓvec), ESS(), alg, 10, 5; progress=false, init_params=init_x
+            )
+            @test map(first, samples) == init_x
         end
 
         # initial parameter