run unit tests with github actions

.Rbuildignore

@@ -5,3 +5,4 @@ news.md
 bugs.md
 ^.*\.Rproj$
 ^\.Rproj\.user$
+^\.github$

.github/workflows/build.yml

@@ -0,0 +1,108 @@
+# based on https://github.com/r-lib/actions/tree/master/examples#standard-ci-workflow
+
+name: build
+
+on:
+  push:
+    branches:
+      - master
+  pull_request:
+    branches:
+      - master
+  schedule:
+    - cron: "0 9 * * 1"
+  workflow_dispatch:
+
+jobs:
+  build:
+    runs-on: ${{ matrix.config.os }}
+
+    name: ${{ matrix.config.os }} (${{ matrix.config.r }})
+
+    strategy:
+      fail-fast: false
+      matrix:
+        config:
+          - {os: windows-latest, r: 'release'}
+          - {os: macOS-latest, r: 'release'}
+          - {os: ubuntu-20.04, r: 'release', rspm: "https://packagemanager.rstudio.com/cran/__linux__/focal/latest"}
+          - {os: ubuntu-20.04, r: 'devel', rspm: "https://packagemanager.rstudio.com/cran/__linux__/focal/latest"}
+
+    env:
+      R_REMOTES_NO_ERRORS_FROM_WARNINGS: true
+      RSPM: ${{ matrix.config.rspm }}
+      GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
+
+    steps:
+      - uses: actions/checkout@v2
+
+      - uses: r-lib/actions/setup-r@v1
+        with:
+          r-version: ${{ matrix.config.r }}
+
+      - uses: r-lib/actions/setup-pandoc@v1
+
+      - uses: r-lib/actions/setup-tinytex@master
+      - run: tlmgr install amscls soul
+
+      - name: Query dependencies
+        run: |
+          install.packages('remotes')
+          saveRDS(remotes::dev_package_deps(dependencies = TRUE), ".github/depends.Rds", version = 2)
+          writeLines(sprintf("R-%i.%i", getRversion()$major, getRversion()$minor), ".github/R-version")
+        shell: Rscript {0}
+
+      - name: Cache R packages
+        if: runner.os != 'Windows'
+        uses: actions/cache@v2
+        with:
+          path: ${{ env.R_LIBS_USER }}
+          key: ${{ runner.os }}-${{ hashFiles('.github/R-version') }}-1-${{ hashFiles('.github/depends.Rds') }}
+          restore-keys: ${{ runner.os }}-${{ hashFiles('.github/R-version') }}-1-
+
+      - name: Install system dependencies
+        if: runner.os == 'Linux'
+        run: |
+          while read -r cmd
+          do
+            eval sudo $cmd
+          done < <(Rscript -e 'writeLines(remotes::system_requirements("ubuntu", "20.04"))')
+
+      - name: Install dependencies
+        run: |
+          remotes::install_deps(dependencies = TRUE)
+          remotes::install_cran("rcmdcheck")
+        shell: Rscript {0}
+
+      - name: Check
+        if: runner.os != 'macOS'
+        env:
+          _R_CHECK_CRAN_INCOMING_REMOTE_: false
+          NOT_CRAN: false
+        run: rcmdcheck::rcmdcheck(args = c("--no-manual", "--as-cran"), error_on = "warning", check_dir = "check")
+        shell: Rscript {0}
+
+      - name: Check
+        if: runner.os == 'macOS'
+        env:
+          _R_CHECK_CRAN_INCOMING_REMOTE_: false
+        run: rcmdcheck::rcmdcheck(args = c("--no-manual"), error_on = "warning", check_dir = "check")
+        shell: Rscript {0}
+
+      - name: Upload check results
+        if: failure()
+        uses: actions/upload-artifact@main
+        with:
+          name: ${{ runner.os }}-r${{ matrix.config.r }}-results
+          path: check
+
+      - name: Install covr
+        if: runner.os == 'macOS'
+        run: |
+          remotes::install_cran("covr")
+        shell: Rscript {0}
+
+      - name: Test coverage
+        if: runner.os == 'macOS'
+        run: covr::codecov()
+        shell: Rscript {0}

DESCRIPTION

@@ -27,7 +27,9 @@ Imports:
     methods
 Suggests:
     testthat,
+    covr,
     knitr,
+    formatR,
     xtable,
     mvtnorm
 VignetteBuilder: knitr

README.md

@@ -1,4 +1,5 @@
 # hdm: High-Dimensional Metrics
+![build](https://github.com/MartinSpindler/hdm/workflows/build/badge.svg) [![CRAN\_Status\_Badge](https://www.r-pkg.org/badges/version/hdm)](https://cran.r-project.org/package=hdm) [![Coverage Status](https://img.shields.io/codecov/c/github/MartinSpindler/hdm/master.svg)](https://codecov.io/github/MartinSpindler/hdm?branch=master)
 
 Implementation of selected high-dimensional statistical and econometric methods for estimation and inference. Efficient estimators and uniformly valid confidence intervals for various low-dimensional causal/ structural parameters are provided which appear in high-dimensional approximately sparse models. Including functions for fitting heteroscedastic robust Lasso regressions with non-Gaussian errors and for instrumental variable (IV) and treatment effect estimation in a high-dimensional setting. Moreover, the methods enable valid post-selection inference and rely on a theoretically grounded, data-driven choice of the penalty. 
 

tests/testthat.R

@@ -1,3 +1,3 @@
 library(testthat)
 library(hdm)
-#test_check("hdm")
+test_check("hdm")