From 3c67a72600f9c8b3c0be8c48cfc383c089460ff0 Mon Sep 17 00:00:00 2001
From: Sven Klaassen <47529404+SvenKlaassen@users.noreply.github.com>
Date: Tue, 7 Jan 2025 09:39:16 +0100
Subject: [PATCH 1/5] add optional rdrobust

---
 doubleml/rdd/rdd.py            | 9 ++++++++-
 doubleml/rdd/tests/conftest.py | 9 ++++++++-
 requirements.txt               | 2 +-
 setup.py                       | 3 +++
 4 files changed, 20 insertions(+), 3 deletions(-)

diff --git a/doubleml/rdd/rdd.py b/doubleml/rdd/rdd.py
index 1bbe68306..03ba7bd1c 100644
--- a/doubleml/rdd/rdd.py
+++ b/doubleml/rdd/rdd.py
@@ -4,7 +4,11 @@
 from collections.abc import Callable
 
 from scipy.stats import norm
-from rdrobust import rdrobust, rdbwselect
+try:
+    from rdrobust import rdrobust, rdbwselect
+    _rdrobust_available = True
+except ImportError:
+    _rdrobust_available = False
 
 from sklearn.base import clone
 from sklearn.utils.multiclass import type_of_target
@@ -93,6 +97,9 @@ def __init__(self,
                  fs_kernel="triangular",
                  **kwargs):
 
+        if not _rdrobust_available:
+            raise ImportError("rdrobust is not installed. Please install it using 'pip install DoubleML[rdd]'")
+
         self._check_data(obj_dml_data, cutoff)
         self._dml_data = obj_dml_data
 
diff --git a/doubleml/rdd/tests/conftest.py b/doubleml/rdd/tests/conftest.py
index 1297572f4..c99973b7b 100644
--- a/doubleml/rdd/tests/conftest.py
+++ b/doubleml/rdd/tests/conftest.py
@@ -7,7 +7,11 @@
 from doubleml import DoubleMLData
 from doubleml.rdd import RDFlex
 
-from rdrobust import rdrobust
+try:
+    from rdrobust import rdrobust
+    _rdrobust_available = True
+except ImportError:
+    _rdrobust_available = False
 
 from sklearn.dummy import DummyRegressor, DummyClassifier
 
@@ -25,6 +29,9 @@ def predict_dummy():
     - make predictions using rdrobust as a reference
     """
     def _predict_dummy(data: DoubleMLData, cutoff, alpha, n_rep, p, fs_specification, ml_g=ml_g_dummy):
+        if not _rdrobust_available:
+            raise ImportError("rdrobust is not installed. Please install it using 'pip install DoubleML[rdd]'")
+
         dml_rdflex = RDFlex(
             data,
             ml_g=ml_g,
diff --git a/requirements.txt b/requirements.txt
index 60c39f922..5f0234b87 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -6,4 +6,4 @@ scikit-learn>=1.4.0,<1.6.0
 statsmodels
 plotly
 matplotlib
-rdrobust
\ No newline at end of file
+rdrobust>=1.3.0
\ No newline at end of file
diff --git a/setup.py b/setup.py
index f7c331a98..63fa38de8 100644
--- a/setup.py
+++ b/setup.py
@@ -30,6 +30,9 @@
         'statsmodels',
         'plotly',
     ],
+    extras_require={
+        'rdd': ['rdrobust>=1.3.0']
+    },
     python_requires=">=3.9",
     classifiers=[
         'Programming Language :: Python :: 3',

From 76bfb042ccf573d96d169f55b0486383b730726c Mon Sep 17 00:00:00 2001
From: Sven Klaassen <47529404+SvenKlaassen@users.noreply.github.com>
Date: Tue, 7 Jan 2025 10:21:11 +0100
Subject: [PATCH 2/5] add pytest ci_rdd mark

---
 pytest.ini | 1 +
 1 file changed, 1 insertion(+)

diff --git a/pytest.ini b/pytest.ini
index 08130a47a..17edc6524 100644
--- a/pytest.ini
+++ b/pytest.ini
@@ -2,3 +2,4 @@
 [pytest]
 markers =
     ci: mark a test as a continuous integration test which will be executed in github actions.
+    ci_rdd: mark a test as a continuous integration test which will be executed in github actions and is included in the rdd submodule.
\ No newline at end of file

From bb77e351fe4ec6601f521bad5998075bb3dc9b32 Mon Sep 17 00:00:00 2001
From: Sven Klaassen <47529404+SvenKlaassen@users.noreply.github.com>
Date: Tue, 7 Jan 2025 10:36:11 +0100
Subject: [PATCH 3/5] add filterwarnings to pytest.ini

---
 pytest.ini | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/pytest.ini b/pytest.ini
index 17edc6524..d48ef25c3 100644
--- a/pytest.ini
+++ b/pytest.ini
@@ -2,4 +2,7 @@
 [pytest]
 markers =
     ci: mark a test as a continuous integration test which will be executed in github actions.
-    ci_rdd: mark a test as a continuous integration test which will be executed in github actions and is included in the rdd submodule.
\ No newline at end of file
+    ci_rdd: mark a test as a continuous integration test which will be executed in github actions and is included in the rdd submodule.
+
+filterwarnings =
+    ignore:.*A sharp RD design is being estimated, but the data indicate that the design is fuzzy.*:UserWarning
\ No newline at end of file

From 89da41989bc7ca4500bcc171a0b9611bb8f1e226 Mon Sep 17 00:00:00 2001
From: Oliver Schacht <oliver.schacht@uni-hamburg.de>
Date: Tue, 7 Jan 2025 14:29:57 +0100
Subject: [PATCH 4/5] mark rdd tests

---
 doubleml/rdd/tests/test_rdd_classifier.py     |  2 +-
 .../rdd/tests/test_rdd_classifier_fuzzy.py    | 12 +++++------
 .../tests/test_rdd_classifier_fuzzy_left.py   | 12 +++++------
 .../tests/test_rdd_classifier_fuzzy_right.py  | 12 +++++------
 .../rdd/tests/test_rdd_classifier_sharp.py    | 12 +++++------
 doubleml/rdd/tests/test_rdd_default_values.py |  2 +-
 doubleml/rdd/tests/test_rdd_exceptions.py     | 20 +++++++++----------
 doubleml/rdd/tests/test_rdd_fuzzy.py          | 12 +++++------
 doubleml/rdd/tests/test_rdd_fuzzy_left.py     | 12 +++++------
 doubleml/rdd/tests/test_rdd_fuzzy_right.py    | 12 +++++------
 doubleml/rdd/tests/test_rdd_return_types.py   |  2 +-
 doubleml/rdd/tests/test_rdd_sharp.py          | 12 +++++------
 12 files changed, 61 insertions(+), 61 deletions(-)

diff --git a/doubleml/rdd/tests/test_rdd_classifier.py b/doubleml/rdd/tests/test_rdd_classifier.py
index 166ab192c..adbcfcee9 100644
--- a/doubleml/rdd/tests/test_rdd_classifier.py
+++ b/doubleml/rdd/tests/test_rdd_classifier.py
@@ -24,6 +24,6 @@
 dml_rdflex = RDFlex(dml_data, ml_g=LogisticRegression(), ml_m=LogisticRegression(), fuzzy=True)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_classifier():
     dml_rdflex.fit()
diff --git a/doubleml/rdd/tests/test_rdd_classifier_fuzzy.py b/doubleml/rdd/tests/test_rdd_classifier_fuzzy.py
index 18ea2ce12..56be5fc02 100644
--- a/doubleml/rdd/tests/test_rdd_classifier_fuzzy.py
+++ b/doubleml/rdd/tests/test_rdd_classifier_fuzzy.py
@@ -62,37 +62,37 @@ def predict_nonplacebo(predict_dummy, data, cutoff, alpha, p, n_rep, fs_specific
     )
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_coef(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['coef'], reference['coef'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_coef(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['coef'], reference['coef'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_se(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['se'], reference['se'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_se(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['se'], reference['se'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_ci(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['ci'], reference['ci'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_ci(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['ci'], reference['ci'], rtol=1e-9, atol=1e-4)
diff --git a/doubleml/rdd/tests/test_rdd_classifier_fuzzy_left.py b/doubleml/rdd/tests/test_rdd_classifier_fuzzy_left.py
index 50235399d..ff65bff2f 100644
--- a/doubleml/rdd/tests/test_rdd_classifier_fuzzy_left.py
+++ b/doubleml/rdd/tests/test_rdd_classifier_fuzzy_left.py
@@ -62,37 +62,37 @@ def predict_nonplacebo(predict_dummy, data, cutoff, alpha, p, n_rep, fs_specific
     )
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_coef(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['coef'], reference['coef'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_coef(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['coef'], reference['coef'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_se(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['se'], reference['se'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_se(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['se'], reference['se'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_ci(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['ci'], reference['ci'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_ci(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['ci'], reference['ci'], rtol=1e-9, atol=1e-4)
diff --git a/doubleml/rdd/tests/test_rdd_classifier_fuzzy_right.py b/doubleml/rdd/tests/test_rdd_classifier_fuzzy_right.py
index 21d1b5c39..2969663bc 100644
--- a/doubleml/rdd/tests/test_rdd_classifier_fuzzy_right.py
+++ b/doubleml/rdd/tests/test_rdd_classifier_fuzzy_right.py
@@ -62,37 +62,37 @@ def predict_nonplacebo(predict_dummy, data, cutoff, alpha, p, n_rep, fs_specific
     )
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_coef(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['coef'], reference['coef'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_coef(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['coef'], reference['coef'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_se(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['se'], reference['se'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_se(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['se'], reference['se'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_ci(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['ci'], reference['ci'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_ci(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['ci'], reference['ci'], rtol=1e-9, atol=1e-4)
diff --git a/doubleml/rdd/tests/test_rdd_classifier_sharp.py b/doubleml/rdd/tests/test_rdd_classifier_sharp.py
index 2bd8faa40..b0a742a40 100644
--- a/doubleml/rdd/tests/test_rdd_classifier_sharp.py
+++ b/doubleml/rdd/tests/test_rdd_classifier_sharp.py
@@ -62,37 +62,37 @@ def predict_nonplacebo(predict_dummy, data, cutoff, alpha, p, n_rep, fs_specific
     )
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_coef(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['coef'], reference['coef'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_coef(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['coef'], reference['coef'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_se(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['se'], reference['se'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_se(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['se'], reference['se'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_ci(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['ci'], reference['ci'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_ci(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['ci'], reference['ci'], rtol=1e-9, atol=1e-4)
diff --git a/doubleml/rdd/tests/test_rdd_default_values.py b/doubleml/rdd/tests/test_rdd_default_values.py
index b6e7eafc5..f103b68cd 100644
--- a/doubleml/rdd/tests/test_rdd_default_values.py
+++ b/doubleml/rdd/tests/test_rdd_default_values.py
@@ -30,6 +30,6 @@ def _assert_resampling_default_settings(dml_obj):
     assert dml_obj.fuzzy is False
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_defaults():
     _assert_resampling_default_settings(dml_rdflex)
diff --git a/doubleml/rdd/tests/test_rdd_exceptions.py b/doubleml/rdd/tests/test_rdd_exceptions.py
index 3defef5da..0e524a5b2 100644
--- a/doubleml/rdd/tests/test_rdd_exceptions.py
+++ b/doubleml/rdd/tests/test_rdd_exceptions.py
@@ -57,7 +57,7 @@ def predict_proba(self, X):
         )
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_exception_data():
     # DoubleMLData
     msg = r"The data must be of DoubleMLData type. \[\] of type <class 'list'> was passed."
@@ -101,7 +101,7 @@ def test_rdd_exception_data():
         _ = RDFlex(tmp_dml_data, ml_g)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_exception_cutoff():
     msg = "Cutoff value has to be a float or int. Object of type <class 'list'> passed."
     with pytest.raises(TypeError, match=msg):
@@ -112,14 +112,14 @@ def test_rdd_exception_cutoff():
         _ = RDFlex(dml_data, ml_g, cutoff=200)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_warning_fuzzy():
     msg = 'A sharp RD design is being estimated, but the data indicate that the design is fuzzy.'
     with pytest.warns(UserWarning, match=msg):
         _ = RDFlex(dml_data, ml_g, cutoff=0.1)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_warning_treatment_assignment():
     msg = ("Treatment probability within bandwidth left from cutoff higher than right from cutoff.\n"
            "Treatment assignment might be based on the wrong side of the cutoff.")
@@ -129,7 +129,7 @@ def test_rdd_warning_treatment_assignment():
         _ = RDFlex(tmp_dml_data, ml_g, ml_m, fuzzy=True)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_exception_learner():
 
     # ml_g
@@ -163,7 +163,7 @@ def test_rdd_exception_learner():
         _ = RDFlex(tmp_dml_data, ml_g, ml_m, fuzzy=False)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_exception_resampling():
     # n_folds
     msg = r"The number of folds must be of int type. \[1\] of type <class 'list'> was passed."
@@ -182,7 +182,7 @@ def test_rdd_exception_resampling():
         _ = RDFlex(dml_data, ml_g, ml_m, n_rep=0)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_exception_kernel():
     msg = "fs_kernel must be either a string or a callable. 2 of type <class 'int'> was passed."
     with pytest.raises(TypeError, match=msg):
@@ -192,14 +192,14 @@ def test_rdd_exception_kernel():
         _ = RDFlex(dml_data, ml_g, ml_m, fs_kernel='rbf')
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_exception_h_fs():
     msg = "Initial bandwidth 'h_fs' has to be a float. Object of type <class 'int'> passed."
     with pytest.raises(TypeError, match=msg):
         _ = RDFlex(dml_data, ml_g, ml_m, h_fs=1)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_exception_fs_specification():
     msg = "fs_specification must be a string. 1 of type <class 'int'> was passed."
     with pytest.raises(TypeError, match=msg):
@@ -211,7 +211,7 @@ def test_rdd_exception_fs_specification():
         _ = RDFlex(dml_data, ml_g, ml_m, fs_specification='local_constant')
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_exception_fit():
     rdd_model = RDFlex(dml_data, ml_g, ml_m)
     msg = (r"The number of iterations for the iterative bandwidth fitting must be of int type. \[0\] of type <class 'list'> "
diff --git a/doubleml/rdd/tests/test_rdd_fuzzy.py b/doubleml/rdd/tests/test_rdd_fuzzy.py
index 6203abcf0..8e41b3c5e 100644
--- a/doubleml/rdd/tests/test_rdd_fuzzy.py
+++ b/doubleml/rdd/tests/test_rdd_fuzzy.py
@@ -59,37 +59,37 @@ def predict_nonplacebo(predict_dummy, data, cutoff, alpha, p, n_rep, fs_specific
     )
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_coef(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['coef'], reference['coef'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_coef(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['coef'], reference['coef'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_se(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['se'], reference['se'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_se(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['se'], reference['se'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_ci(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['ci'], reference['ci'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_ci(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['ci'], reference['ci'], rtol=1e-9, atol=1e-4)
diff --git a/doubleml/rdd/tests/test_rdd_fuzzy_left.py b/doubleml/rdd/tests/test_rdd_fuzzy_left.py
index 2c9f887a0..f8ca4a3e2 100644
--- a/doubleml/rdd/tests/test_rdd_fuzzy_left.py
+++ b/doubleml/rdd/tests/test_rdd_fuzzy_left.py
@@ -59,37 +59,37 @@ def predict_nonplacebo(predict_dummy, data, cutoff, alpha, p, n_rep, fs_specific
     )
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_coef(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['coef'], reference['coef'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_coef(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['coef'], reference['coef'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_se(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['se'], reference['se'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_se(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['se'], reference['se'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_ci(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['ci'], reference['ci'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_ci(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['ci'], reference['ci'], rtol=1e-9, atol=1e-4)
diff --git a/doubleml/rdd/tests/test_rdd_fuzzy_right.py b/doubleml/rdd/tests/test_rdd_fuzzy_right.py
index f89d9d2a3..627bfde91 100644
--- a/doubleml/rdd/tests/test_rdd_fuzzy_right.py
+++ b/doubleml/rdd/tests/test_rdd_fuzzy_right.py
@@ -59,37 +59,37 @@ def predict_nonplacebo(predict_dummy, data, cutoff, alpha, p, n_rep, fs_specific
     )
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_coef(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['coef'], reference['coef'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_coef(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['coef'], reference['coef'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_se(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['se'], reference['se'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_se(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['se'], reference['se'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_ci(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['ci'], reference['ci'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_ci(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['ci'], reference['ci'], rtol=1e-9, atol=1e-4)
diff --git a/doubleml/rdd/tests/test_rdd_return_types.py b/doubleml/rdd/tests/test_rdd_return_types.py
index 418bc0c43..32b6241cd 100644
--- a/doubleml/rdd/tests/test_rdd_return_types.py
+++ b/doubleml/rdd/tests/test_rdd_return_types.py
@@ -50,7 +50,7 @@ def _assert_return_types_after_fit(dml_obj):
     # TODO: Add Coefficient tests
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_returntypes():
     _assert_return_types(dml_rdflex)
     _assert_return_types_after_fit(dml_rdflex)
diff --git a/doubleml/rdd/tests/test_rdd_sharp.py b/doubleml/rdd/tests/test_rdd_sharp.py
index 686276e99..b2b95968d 100644
--- a/doubleml/rdd/tests/test_rdd_sharp.py
+++ b/doubleml/rdd/tests/test_rdd_sharp.py
@@ -59,37 +59,37 @@ def predict_nonplacebo(predict_dummy, data, cutoff, alpha, p, n_rep, fs_specific
     )
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_coef(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['coef'], reference['coef'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_coef(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['coef'], reference['coef'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_se(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['se'], reference['se'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_se(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['se'], reference['se'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_placebo_ci(predict_placebo):
     reference, actual = predict_placebo
     assert np.allclose(actual['ci'], reference['ci'], rtol=1e-9, atol=1e-4)
 
 
-@pytest.mark.ci
+@pytest.mark.ci_rdd
 def test_rdd_nonplacebo_ci(predict_nonplacebo):
     reference, actual = predict_nonplacebo
     assert np.allclose(actual['ci'], reference['ci'], rtol=1e-9, atol=1e-4)

From b9ddd111a221354819306b5101a89f0992a08110 Mon Sep 17 00:00:00 2001
From: Oliver Schacht <oliver.schacht@uni-hamburg.de>
Date: Tue, 7 Jan 2025 14:33:02 +0100
Subject: [PATCH 5/5] ignore warnings

---
 pytest.ini | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/pytest.ini b/pytest.ini
index d48ef25c3..4d3130e33 100644
--- a/pytest.ini
+++ b/pytest.ini
@@ -5,4 +5,5 @@ markers =
     ci_rdd: mark a test as a continuous integration test which will be executed in github actions and is included in the rdd submodule.
 
 filterwarnings =
-    ignore:.*A sharp RD design is being estimated, but the data indicate that the design is fuzzy.*:UserWarning
\ No newline at end of file
+    ignore:.*A sharp RD design is being estimated, but the data indicate that the design is fuzzy.*:UserWarning
+    ignore:.*A learner ml_m has been provided for for a sharp design but will be ignored. A learner ml_m is not required for estimation.*:UserWarning
\ No newline at end of file