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Merge pull request #138 from DoubleML/dev
Update docs for release 0.6.1
2 parents 0d3e96c + b63150a commit aa6585c

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.github/workflows/test_build_docu_dev.yml

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pull_request:
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branches:
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- dev
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workflow_dispatch:
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inputs:
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doubleml-py-branch:

.github/workflows/test_build_docu_released.yml

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pull_request:
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branches:
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workflow_dispatch:
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schedule:
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- cron: "0 9 * * 1,3,5"

doc/api/api.rst

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DoubleMLPLIV
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DoubleMLIRM
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DoubleMLIIVM
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DoubleMLDID
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DoubleMLDIDCS
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DoubleMLPQ
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DoubleMLLPQ
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DoubleMLCVAR
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datasets.make_iivm_data
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datasets.make_plr_turrell2018
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datasets.make_pliv_multiway_cluster_CKMS2021
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datasets.make_did_SZ2020
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Score mixin classes for double machine learning models
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doc/conf.py

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'https://doi.org/10.1111/rssb.12026', # Valid DOI; Causes 403 Client Error: Forbidden for url:...
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'https://doi.org/10.1111/rssa.12623', # Valid DOI; Causes 403 Client Error: Forbidden for url:...
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'https://doi.org/10.1146/annurev-economics-012315-015826', # Valid DOI; Causes 403 Client Error: Forbidden for url:...
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'https://doi.org/10.1109/TIT.2014.2343629', # Valid DOI, Causes 418 Client Error: unknown for url:...
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'https://doi.org/10.1093/ectj/utaa001', # Valid DOI; Causes 403 Client Error: Forbidden for url:...
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'https://doi.org/10.1111/0034-6527.00321', # Valid DOI; Causes 403 Client Error: Forbidden for url:...
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'https://doi.org/10.1016/j.jeconom.2020.06.003', # Valid DOI; Causes 403 Client Error: Forbidden for url:...
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]
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# To execute R code via jupyter-execute one needs to install the R kernel for jupyter

doc/examples/index.rst

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py_double_ml_multiway_cluster.ipynb
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py_double_ml_gate.ipynb
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py_double_ml_cate.ipynb
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py_double_ml_did.ipynb
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py_double_ml_did_pretest.ipynb
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py_double_ml_pension_qte.ipynb
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py_double_ml_pq.ipynb
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py_double_ml_cvar.ipynb

doc/examples/py_double_ml_cate.ipynb

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},
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"outputs": [],
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"source": [
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"design_matrix = patsy.dmatrix(\"te(cr(x_0, df=6), cc(x_1, df=6)) - 1\", {\"x_0\": data[\"x_0\"], \"x_1\": data[\"x_1\"]})\n",
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"design_matrix = patsy.dmatrix(\"te(bs(x_0, df=7, degree=3), bs(x_1, df=7, degree=3))\", {\"x_0\": data[\"x_0\"], \"x_1\": data[\"x_1\"]})\n",
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"spline_basis = pd.DataFrame(design_matrix)\n",
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"\n",
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"cate = dml_irm.cate(spline_basis)\n",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.6"
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"version": "3.11.2"
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},
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"vscode": {
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"interpreter": {

doc/examples/py_double_ml_cvar.ipynb

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