[FIX] regular expression for no moderators

nimare/meta/cbmr.py

@@ -513,11 +513,14 @@ def create_regular_expressions(self):
         operator = "(\\ ?(?P<operator>[+-]?)\\ ??)"
         for attr in ["groups", "moderators"]:
             groups = getattr(self, attr)
-            first_group, second_group = [
-                f"(?P<{order}>{'|'.join([re.escape(g) for g in groups])})"
-                for order in ["first", "second"]
-            ]
-            reg_expr = re.compile(first_group + "(" + operator + second_group + "?)")
+            if groups:
+                first_group, second_group = [
+                    f"(?P<{order}>{'|'.join([re.escape(g) for g in groups])})"
+                    for order in ["first", "second"]
+                ]
+                reg_expr = re.compile(first_group + "(" + operator + second_group + "?)")
+            else:
+                reg_expr = None
 
             setattr(self, "{}_regular_expression".format(attr), reg_expr)
 

nimare/tests/test_meta_cbmr.py

@@ -39,7 +39,7 @@ def cbmr_result(testdata_cbmr_simulated, model):
     cbmr = CBMREstimator(
         group_categories=["diagnosis", "drug_status"],
         moderators=["standardized_sample_sizes", "standardized_avg_age", "schizophrenia_subtype"],
-        spline_spacing=200,
+        spline_spacing=100,
         model=model,
         penalty=False,
         lr=1e-2,
@@ -56,7 +56,7 @@ def cbmr_result(testdata_cbmr_simulated, model):
 @pytest.fixture(scope="session")
 def inference_results(testdata_cbmr_simulated, cbmr_result):
     """Test inference results for CBMR estimator."""
-    inference = CBMRInference(device="cuda")
+    inference = CBMRInference(device="cpu")
     inference.fit(cbmr_result)
     t_con_groups = inference.create_contrast(
         [
@@ -121,7 +121,39 @@ def test_firth_penalty(testdata_cbmr_simulated):
     )
     res = cbmr.fit(dataset=dset)
     assert isinstance(res, nimare.results.MetaResult)
+
+
+def test_moderators_none(testdata_cbmr_simulated):
+    """Unit test for Firth penalty."""
+    dset = StandardizeField(fields=["sample_sizes", "avg_age", "schizophrenia_subtype"]).transform(
+        testdata_cbmr_simulated
+    )
+    cbmr = CBMREstimator(
+        group_categories=["diagnosis", "drug_status"],
+        moderators=None,
+        spline_spacing=100,
+        model=models.PoissonEstimator,
+        penalty=False,
+        lr=1e-2,
+        tol=1e7,
+        device="cpu",
+    )
+    res = cbmr.fit(dataset=dset)
+    assert isinstance(res, nimare.results.MetaResult)
+    inference = CBMRInference(device="cpu")
+    inference.fit(res)
 
+    t_con_groups = inference.create_contrast(
+        [
+            "DepressionYes",
+        ],
+        source="groups",
+    )
+    inference_results = inference.transform(
+        t_con_groups=t_con_groups
+    )
+
+    assert isinstance(inference_results, nimare.results.MetaResult)
 
 def test_CBMREstimator_update(testdata_cbmr_simulated):
     """Unit test for CBMR estimator update function."""