implement pkgdown workflow

.github/workflows/pkgdown.yaml

@@ -0,0 +1,48 @@
+# Workflow derived from https://github.com/r-lib/actions/tree/v2/examples
+# Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help
+on:
+  push:
+    branches: [main, master]
+  pull_request:
+    branches: [main, master]
+  release:
+    types: [published]
+  workflow_dispatch:
+
+name: pkgdown
+
+jobs:
+  pkgdown:
+    runs-on: ubuntu-latest
+    # Only restrict concurrency for non-PR jobs
+    concurrency:
+      group: pkgdown-${{ github.event_name != 'pull_request' || github.run_id }}
+    env:
+      GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
+    permissions:
+      contents: write
+    steps:
+      - uses: actions/checkout@v3
+
+      - uses: r-lib/actions/setup-pandoc@v2
+
+      - uses: r-lib/actions/setup-r@v2
+        with:
+          use-public-rspm: true
+
+      - uses: r-lib/actions/setup-r-dependencies@v2
+        with:
+          extra-packages: any::pkgdown, local::.
+          needs: website
+
+      - name: Build site
+        run: pkgdown::build_site_github_pages(new_process = FALSE, install = FALSE)
+        shell: Rscript {0}
+
+      - name: Deploy to GitHub pages 🚀
+        if: github.event_name != 'pull_request'
+        uses: JamesIves/github-pages-deploy-action@v4.4.1
+        with:
+          clean: false
+          branch: gh-pages
+          folder: docs

DESCRIPTION

@@ -15,7 +15,7 @@ Description: Tools to research Bayesian Vector heterogeneous autoregressive (VHA
     referring to Kim & Baek (2023) (<doi:10.1080/00949655.2023.2281644>).
     'bvhar' can model Vector Autoregressive (VAR), VHAR, Bayesian VAR (BVAR), and Bayesian VHAR (BVHAR) models.
 License: GPL (>= 3)
-URL: https://ygeunkim.github.io/package/bvhar/, https://github.com/ygeunkim/bvhar
+URL: https://ygeunkim.github.io/bvhar/, https://github.com/ygeunkim/bvhar
 BugReports: https://github.com/ygeunkim/bvhar/issues
 Suggests: 
     covr,

_pkgdown.yml

@@ -1,40 +1,37 @@
+url: https://ygeunkim.github.io/bvhar/
 template:
   bootstrap: 5
   bootswatch: journal
   bslib:
-    bg: "#272935"
-    fg: "#f8f8f2"
-    primary: "#ff3860"
-    secondary: "#23252f"
-    base_font: {google: "Noto Sans"}
-    code_font: {google: "Anonymous Pro"}
-    code-bg: "#44475a"
-    code-color: "#f8f8f2"
+    bg: '#272935'
+    fg: '#f8f8f2'
+    primary: '#ff3860'
+    secondary: '#23252f'
+    base_font:
+      google: Noto Sans
+    code_font:
+      google: Anonymous Pro
+    code-bg: '#44475a'
+    code-color: '#f8f8f2'
   theme: github-dark
-
 development:
   mode: auto
-
 reference:
 - title: The bvhar package
   desc: ~
-  contents:
-  - bvhar-package
-
+  contents: bvhar-package
 - title: VAR
-  desc: >
+  desc: |
     Vector autoregressive model.
   contents:
   - var_lm
   - VARtoVMA
-
 - title: VHAR
-  desc: >
+  desc: |
     Vector heterogeneous autoregressive model.
   contents:
   - vhar_lm
   - VHARtoVMA
-
 - title: Bayesian Model
   desc: ~
   contents:
@@ -43,9 +40,8 @@ reference:
   - set_ssvs
   - set_lambda
   - set_horseshoe
-
 - title: BVAR
-  desc: >
+  desc: |
     Bayesian VAR model.
   contents:
   - bvar_minnesota
@@ -54,32 +50,28 @@ reference:
   - bvar_sv
   - bvar_ssvs
   - bvar_horseshoe
-
 - title: BVHAR
-  desc: >
+  desc: |
     Bayesian VHAR model.
   contents:
   - bvhar_minnesota
   - bvhar_sv
   - bvhar_ssvs
   - bvhar_horseshoe
-
 - title: Summary method
   desc: ~
   contents:
   - summary.varlse
   - summary.vharlse
   - summary.normaliw
   - summary.ssvsmod
-
 - title: Forecasting
   desc: ~
   contents:
   - predict.varlse
   - divide_ts
   - forecast_roll
   - forecast_expand
-
 - title: Evaluation
   desc: ~
   contents:
@@ -103,7 +95,6 @@ reference:
   - spne
   - relspne
   - lpl
-
 - title: Tuning
   desc: ~
   contents:
@@ -113,7 +104,6 @@ reference:
   - bound_bvhar
   - choose_bayes
   - choose_ssvs
-
 - title: Information criteria
   desc: ~
   contents:
@@ -127,7 +117,6 @@ reference:
   - choose_var
   - compute_dic
   - compute_dic.bvarmn
-
 - title: Plots
   desc: ~
   contents:
@@ -139,7 +128,6 @@ reference:
   - autoplot.bvharirf
   - autoplot.bvharsp
   - autoplot.summary.bvharsp
-
 - title: Simulation and Random Generation
   desc: ~
   contents:
@@ -154,13 +142,11 @@ reference:
   - sim_mvt
   - sim_ssvs_var
   - sim_horseshoe_var
-
 - title: Data
   desc: ~
   contents:
   - etf_vix
   - oxfordman
-
 - title: Other generic functions
   desc: ~
   contents:
@@ -174,13 +160,20 @@ reference:
   - fitted.varlse
   - is.varlse
   - split_coef
-
-destination: '../../myprofile/young-blogdown/static/package/bvhar'
-
+destination: ../../myprofile/young-blogdown/static/package/bvhar
 navbar:
   structure:
-    left: [intro, reference, articles, tutorials, news, research, accepted]
-    right: [github, goback]
+    left:
+    - intro
+    - reference
+    - articles
+    - tutorials
+    - news
+    - research
+    - accepted
+    right:
+    - github
+    - goback
   components:
     research:
       icon: fa-laptop-code
@@ -192,18 +185,18 @@ navbar:
       href: /software/
       aria-label: Back to the page
       text: Go back to the Software page
-
 news:
   releases:
-  - text: "JSCS submission ver"
+  - text: JSCS submission ver
     href: https://github.com/ygeunkim/bvhar/releases/tag/v0.9.0
-  - text: "JSCS revision ver"
+  - text: JSCS revision ver
     href: https://github.com/ygeunkim/bvhar/releases/tag/v0.12.0
-  - text: "Version 1.0.0"
+  - text: Version 1.0.0
     href: https://github.com/ygeunkim/bvhar/releases/tag/v1.0.0
-  - text: "Version 1.0.1"
+  - text: Version 1.0.1
     href: https://github.com/ygeunkim/bvhar/releases/tag/v1.0.1
-  - text: "Version 1.0.2"
+  - text: Version 1.0.2
     href: https://github.com/ygeunkim/bvhar/releases/tag/v1.0.2
-  - text: "Version 1.1.0"
-    href: https://github.com/ygeunkim/bvhar/releases/tag/v1.1.0
+  # - text: Version 1.1.0
+  #   href: https://github.com/ygeunkim/bvhar/releases/tag/v1.1.0
+