Added changes from comment

Chnaged license
corrected github url
removed dev_dependencies from build
removed init code from age_split sub directory
ruff formatted files
numpy format for doc in preprocess

pyproject.toml

@@ -12,7 +12,7 @@ license = { text = "BSD 2-Clause License" }
 classifiers = [
     "Development Status :: 4 - Beta",
     "Programming Language :: Python :: 3",
-    "License :: OSI Approved :: BSD 2-Clause License",
+    "License :: OSI Approved :: BSD License",
     "Operating System :: OS Independent",
 ]
 
@@ -25,7 +25,7 @@ dependencies = [
 requires-python = ">=3.6"
 
 [project.urls]
-homepage = "https://github.com/ihmeuw-msca/splitting-python-package"
+homepage = "https://github.com/ihmeuw-msca/pydisagg"
 
 [tool.setuptools.packages]
 find = {} 
@@ -38,7 +38,4 @@ log_cli_level = "INFO"
 log_format = "%(asctime)s %(levelname)s %(message)s"
 log_date_format = "%Y-%m-%d %H:%M:%S"
 minversion = "6.0"
-filterwarnings = "ignore"
-
-[dev-dependencies]
-pytest = "^8.1"
+filterwarnings = "ignore"

src/pydisagg/age_split/__init__.py

@@ -1,4 +1 @@
 # age_split/__init__.py
-from . import age_split, age_var, helper
-
-__all__ = ["age_split", "age_var", "helper"]

src/pydisagg/models.py

@@ -47,10 +47,7 @@ class LMO_model(DisaggModel):
     DisaggModel using the log-modified odds transformation with the exponent m.
     """
 
-    def __init__(
-        self,
-        m: float,
-    ):
+    def __init__(self, m: float):
         super().__init__(
             parameter_transformation=transformations.LogModifiedOddsTransformation(
                 m

src/pydisagg/preprocess.py

@@ -15,15 +15,23 @@ def validate_data(df, pop_df, age_id_map=age_id_map):
     """
     Validates the input dataframe by checking for NaN values, invalid sex_id, invalid location_ids, and invalid year_ids.
 
-    Args:
-        df (pandas.DataFrame): The input dataframe to be validated.
-        age_id_map (dict): A dictionary mapping age_ids to their corresponding values.
-        pop_df (pandas.DataFrame): The population dataframe used for validation.
-
-    Returns:
-        valid_df (pandas.DataFrame): The validated dataframe with invalid rows removed.
-        nan_df (pandas.DataFrame): A dataframe containing the rows with validation errors and their corresponding error reasons.
+    Parameters
+    ----------
+    df : pandas.DataFrame
+        The input dataframe to be validated.
+    age_id_map : dict
+        A dictionary mapping age_ids to their corresponding values.
+    pop_df : pandas.DataFrame
+        The population dataframe used for validation.
+
+    Returns
+    -------
+    valid_df : pandas.DataFrame
+        The validated dataframe with invalid rows removed.
+    nan_df : pandas.DataFrame
+        A dataframe containing the rows with validation errors and their corresponding error reasons.
     """
+
     if "year_id" in df.columns:
         df["input_year_id"] = df["year_id"]