diff --git a/.github/workflows/test_build.yml b/.github/workflows/test_build.yml index c43d31f..6bd13df 100644 --- a/.github/workflows/test_build.yml +++ b/.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} \ No newline at end of file + - 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"' diff --git a/README.Rmd b/README.Rmd index fbc1909..008ab8e 100644 --- a/README.Rmd +++ b/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 diff --git a/README.md b/README.md index ed717f1..a63ca77 100644 --- a/README.md +++ b/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