diff --git a/doc/examples/py_double_ml_rdflex.ipynb b/doc/examples/py_double_ml_rdflex.ipynb index f2517305..d01b17ac 100644 --- a/doc/examples/py_double_ml_rdflex.ipynb +++ b/doc/examples/py_double_ml_rdflex.ipynb @@ -15,6 +15,13 @@ "with $Y_i(1)$ and $Y_i(0)$ denoting the potential outcomes of an individual with and without treatment, respectively." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Note:** The dependencies for the module ``doubleml.rdd`` can be installed seperately via ``pip install rdrobust``, if necessary." + ] + }, { "cell_type": "code", "execution_count": null, diff --git a/doc/intro/install.rst b/doc/intro/install.rst index b7830abd..10a0fd62 100644 --- a/doc/intro/install.rst +++ b/doc/intro/install.rst @@ -17,6 +17,10 @@ There are three different ways to install the python package :ref:`DoubleML `_ - - Maintainance package + - Maintenance package `#268 `_ `#278 `_ `#279 `_ @@ -39,7 +39,6 @@ Release notes .. dropdown:: DoubleML 0.9.0 :class-title: sd-bg-primary sd-font-weight-bold - :open: - **Release highlight:** Average potential outcomes for multiple discrete treatments via ``DoubleMLAPO`` and ``DoubleMLAPOS`` classes (proposed by `Apoorva Lal `_) @@ -53,7 +52,7 @@ Release notes - Add sensitivity analysis to ``DoubleMLFramework`` `#249 `_ - - Maintainance package + - Maintenance package `#264 `_ `#265 `_ `#266 `_ @@ -87,7 +86,7 @@ Release notes - Update the ``make_confounded_irm_data`` data generating process `#263 `_ - - Maintainance package + - Maintenance package `#264 `_ - Maintenance documentation @@ -108,7 +107,7 @@ Release notes `#173 `_ `#174 `_ - - Maintainance documentation + - Maintenance documentation `#172 `_ .. dropdown:: DoubleML 0.8.0 @@ -140,7 +139,7 @@ Release notes `#167 `_ `#168 `_ - - Maintainance package + - Maintenance package `#225 `_ `#229 `_ `#246 `_ diff --git a/doc/shared/models/rdd.rst b/doc/shared/models/rdd.rst index 96d1e75d..6582e455 100644 --- a/doc/shared/models/rdd.rst +++ b/doc/shared/models/rdd.rst @@ -13,6 +13,9 @@ Let :math:`Y_i` be the observed outcome of an individual and :math:`D_i` the tre - :math:`D_i` the **treatment received** (in sharp RDD instead of :math:`T_i`) - :math:`T_i` the **treatment assigned** (only relevant in fuzzy RDD) +.. note:: + The ``doubleml.rdd`` module depends on ``rdrobust`` which can be installed via ``pip install rdrobust`` or ``pip install doubleml[rdd]``. + Sharp Regression Discontinuity Design *************************************