Github actions

.github/workflows/test_build.yml

@@ -2,7 +2,7 @@ name: test
 
 on:
   push:
-    branches: [ "master" ]
+    branches: [ "master", "gh-actions" ]
   pull_request:
     branches: [ "master" ]
   workflow_dispatch:
@@ -13,21 +13,27 @@ permissions:
 jobs:
   build:
     runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        r-version: ['3.6.3', '4.1.1']
+    # strategy:
+    #   matrix:
+    #     r-version: ['3.6.3', '4.1.1']
+
 
     steps:
-      - uses: actions/checkout@v3
-      - name: Set up R ${{ matrix.r-version }}
-        uses: r-lib/actions/setup-r@v2
-        with:
-          r-version: ${{ matrix.r-version }}
-      - name: Install dependencies
-        run: |
-          install.packages(c("remotes", "rcmdcheck"))
-          remotes::install_deps(dependencies = TRUE)
-        shell: Rscript {0}
-      - name: Check
-        run: rcmdcheck::rcmdcheck(args = "--no-manual", error_on = "error")
-        shell: Rscript {0}
+    - uses: actions/checkout@v3
+    - uses: r-lib/actions/setup-r@v2
+    - uses: r-lib/actions/setup-r-dependencies@v2
+      with:
+        cache: true
+        cache-version: 1
+        extra-packages: |
+          any::rcmdcheck
+          any::remotes
+          any::devtools
+          any::pulsar
+          local::.
+        needs: check
+    - uses: r-lib/actions/check-r-package@v2
+      with:
+        args: 'c("--no-manual", "--as-cran")'
+        error-on: '"error"'
+        check-dir: '"check"'

README.Rmd

@@ -15,7 +15,6 @@ if (!runchunks) load('.README.RData')
 ```
 SpiecEasi
 =========
-[![Build Status](https://app.travis-ci.com/zdk123/SpiecEasi.svg?branch=master)](https://app.travis-ci.com/zdk123/SpiecEasi)
 
 Sparse InversE Covariance estimation for Ecological Association and Statistical Inference
 

README.md

@@ -3,7 +3,6 @@
 SpiecEasi
 =========
 
-[![Build Status](https://app.travis-ci.com/zdk123/SpiecEasi.svg?branch=master)](https://app.travis-ci.com/zdk123/SpiecEasi)
 
 Sparse InversE Covariance estimation for Ecological Association and
 Statistical Inference