ENH: enable linkchecker

.github/workflows/linkcheck.yml

@@ -1,44 +1,44 @@
-# name: Link Checker [Anaconda, Linux]
-# on:
-#   pull_request:
-#     types: [opened, reopened]
-#   schedule:
-#     # UTC 12:00 is early morning in Australia
-#     - cron:  '0 12 * * *'
-# jobs:
-#   link-check-linux:
-#     name: Link Checking (${{ matrix.python-version }}, ${{ matrix.os }})
-#     runs-on: ${{ matrix.os }}
-#     strategy:
-#       fail-fast: false
-#       matrix:
-#         os: ["ubuntu-latest"]
-#         python-version: ["3.9"]
-#     steps:
-#       - name: Checkout
-#         uses: actions/checkout@v2
-#       - name: Setup Anaconda
-#         uses: conda-incubator/setup-miniconda@v2
-#         with:
-#           auto-update-conda: true
-#           auto-activate-base: true
-#           miniconda-version: 'latest'
-#           python-version: 3.9
-#           environment-file: environment.yml
-#           activate-environment: quantecon
-#       - name: Download "build" folder (cache)
-#         uses: dawidd6/action-download-artifact@v2
-#         with:
-#           workflow: cache.yml
-#           branch: main
-#           name: build-cache
-#           path: _build
-#       - name: Link Checker
-#         shell: bash -l {0}
-#         run: jb build lectures --path-output=./ --builder=custom --custom-builder=linkcheck
-#       - name: Upload Link Checker Reports
-#         uses: actions/upload-artifact@v2
-#         if: failure()
-#         with:
-#           name: linkcheck-reports
-#           path: _build/linkcheck
+name: Link Checker [Anaconda, Linux]
+on:
+  pull_request:
+    types: [opened, reopened]
+  schedule:
+    # UTC 12:00 is early morning in Australia
+    - cron:  '0 12 * * *'
+jobs:
+  link-check-linux:
+    name: Link Checking (${{ matrix.python-version }}, ${{ matrix.os }})
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: ["ubuntu-latest"]
+        python-version: ["3.10"]
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v2
+      - name: Setup Anaconda
+        uses: conda-incubator/setup-miniconda@v2
+        with:
+          auto-update-conda: true
+          auto-activate-base: true
+          miniconda-version: 'latest'
+          python-version: "3.10"
+          environment-file: environment.yml
+          activate-environment: quantecon
+      - name: Download "build" folder (cache)
+        uses: dawidd6/action-download-artifact@v2
+        with:
+          workflow: cache.yml
+          branch: main
+          name: build-cache
+          path: _build
+      - name: Link Checker
+        shell: bash -l {0}
+        run: jb build lectures --path-output=./ --builder=custom --custom-builder=linkcheck
+      - name: Upload Link Checker Reports
+        uses: actions/upload-artifact@v2
+        if: failure()
+        with:
+          name: linkcheck-reports
+          path: _build/linkcheck

lectures/_config.yml

@@ -37,6 +37,8 @@ latex:
 sphinx:
   extra_extensions: [sphinx_multitoc_numbering, sphinxext.rediraffe, sphinx_exercise, sphinx_togglebutton, sphinx_proof, sphinx_tojupyter] 
   config:
+    # false-positive links
+    linkcheck_ignore: ['https://doi.org/https://doi.org/10.2307/1235116']
     # myst-nb config
     nb_render_image_options:
       width: 80%

lectures/about.md

@@ -60,7 +60,7 @@ In particular, we sincerely thank and give credit to
 
 - [Aakash Gupta](https://github.com/AakashGfude)
 - [Shu Hu](https://github.com/shlff)
-- [Jiacheng Li](https://l10727@nyu.edu)
+- Jiacheng Li
 - [Smit Lunagariya](https://github.com/Smit-create)
 - [Matthew McKay](https://github.com/mmcky)
 - [Maanasee Sharma](https://github.com/maanasee)

lectures/eigen_I.md

@@ -1268,7 +1268,7 @@ The vector fields explain why we observed the trajectories of the vector $v$ mul
 
 The pattern demonstrated here is because we have complex eigenvalues and eigenvectors.
 
-We can plot the complex plane for one of the matrices using `Arrow3D` class retrieved from [stackoverflow](https://stackoverflow.com/questions/22867620/putting-arrowheads-on-vectors-in-matplotlibs-3d-plot).
+We can plot the complex plane for one of the matrices using `Arrow3D` class retrieved from [stackoverflow](https://stackoverflow.com/questions/22867620/putting-arrowheads-on-vectors-in-a-3d-plot).
 
 ```{code-cell} ipython3
 ---

lectures/markov_chains_I.md

@@ -462,7 +462,7 @@ always close to 0.25 (for the `P` matrix above).
 
 ### Using QuantEcon's routines
 
-QuantEcon.py has routines for handling Markov chains, including simulation.
+[QuantEcon.py](http://quantecon.org/quantecon-py) has routines for handling Markov chains, including simulation.
 
 Here's an illustration using the same $P$ as the preceding example
 
@@ -749,7 +749,7 @@ Not surprisingly it tends to zero as $\beta \to 0$, and to one as $\alpha \to 0$
 
 ### Calculating stationary distributions
 
-A stable algorithm for computing stationary distributions is implemented in QuantEcon.py.
+A stable algorithm for computing stationary distributions is implemented in [QuantEcon.py](http://quantecon.org/quantecon-py).
 
 Here's an example
 

lectures/markov_chains_II.md

@@ -361,7 +361,7 @@ The diagram of the Markov chain shows that it is **irreducible**
 
 In fact it has a periodic cycle --- the state cycles between the two states in a regular way.
 
-This is called [periodicity](https://stats.libretexts.org/Bookshelves/Probability_Theory/Probability_Mathematical_Statistics_and_Stochastic_Processes_(Siegrist)/16%3A_Markov_Processes/16.05%3A_Periodicity_of_Discrete-Time_Chains#:~:text=A%20state%20in%20a%20discrete,limiting%20behavior%20of%20the%20chain.).
+This is called [periodicity](https://stats.libretexts.org/Bookshelves/Probability_Theory/Probability_Mathematical_Statistics_and_Stochastic_Processes_(Siegrist)/16%3A_Markov_Processes/16.05%3A_Periodicity_of_Discrete-Time_Chains).
 
 It is still irreducible so ergodicity holds.