Fix: Update parameter type annotations and descriptions in make_plpr_CP2025 and DoubleMLPLPR classes

Author: SvenKlaassen

doubleml/plm/datasets/dgp_plpr_CP2025.py

@@ -56,17 +56,17 @@ def make_plpr_CP2025(num_id=250, num_t=10, dim_x=30, theta=0.5, dgp_type="dgp1",
 
     Parameters
     ----------
-    num_id :
+    num_id : int
         The number of units in the panel.
-    num_t :
+    num_t : int
         The number of time periods in the panel.
-    num_x :
+    dim_x : int
         The number of confounding variables.
-    theta :
+    theta : float
         The value of the causal parameter.
-    dgp_type :
+    dgp_type : str
         The type of DGP design to be used. Default is ``'dgp1'``, other options are ``'dgp2'`` and ``'dgp3'``.
-    time_type :
+    time_type : str
         The data type of the time variable. Default is ``'int'``, other options are ``'float'`` and ``'datetime'``.
 
     Returns

doubleml/plm/plpr.py

@@ -44,7 +44,7 @@ class DoubleMLPLPR(LinearScoreMixin, DoubleML):
         Default is ``5``.
 
     n_rep : int
-        Number of repetitons for the sample splitting.
+        Number of repetitions for the sample splitting.
         Default is ``1``.
 
     score : str