DOC: Change "cluster" to "clustered" in the docs

Update docs Simplify formulaic by removing patch
bashtage · Dec 11, 2024 · 3e93160 · 3e93160
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commit 3e93160
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Showing 10 changed files with 9 additions and 40 deletions.
diff --git a/ci/azure_template_posix.yml b/ci/azure_template_posix.yml
@@ -100,6 +100,7 @@ jobs:
      flake8 linearmodels
      black --check linearmodels
      isort --check linearmodels
+     ruff linearmodels
     displayName: 'Check style and formatting'
 
   - script: |

diff --git a/linearmodels/compat/formulaic.py b/linearmodels/compat/formulaic.py
diff --git a/linearmodels/iv/_utility.py b/linearmodels/iv/_utility.py
@@ -13,11 +13,6 @@
 
 import linearmodels.typing.data
 
-from ..compat.formulaic import monkey_patch_materializers
-
-# Monkey patch parsers if needed, remove once formulaic updated
-monkey_patch_materializers()
-
 PARSING_ERROR = """
 Conversion of formula blocks to DataFrames failed.
 The formula blocks used for conversion were:

diff --git a/linearmodels/iv/absorbing.py b/linearmodels/iv/absorbing.py
@@ -1020,7 +1020,7 @@ def fit(
             * "robust", "heteroskedastic" - Heteroskedasticity robust inference
             * "kernel" - Heteroskedasticity and autocorrelation robust
               inference
-            * "cluster" - One-way cluster dependent inference.
+            * "clustered" - One-way cluster dependent inference.
               Heteroskedasticity robust
 
         debiased : bool

diff --git a/linearmodels/iv/gmm.py b/linearmodels/iv/gmm.py
@@ -380,7 +380,7 @@ class IVGMMCovariance(HomoskedasticCovariance):
         * "robust", "heteroskedastic" - Allows for heteroskedasticity by not
           autocorrelation
         * "kernel" - Allows for heteroskedasticity and autocorrelation
-        * "cluster" - Allows for one-way cluster dependence
+        * "clustered" - Allows for one-way cluster dependence
 
     debiased : bool
         Flag indicating whether to debias the covariance estimator

diff --git a/linearmodels/iv/model.py b/linearmodels/iv/model.py
@@ -632,7 +632,7 @@ def fit(
             * "robust", "heteroskedastic" - Heteroskedasticity robust inference
             * "kernel" - Heteroskedasticity and autocorrelation robust
               inference
-            * "cluster" - One-way cluster dependent inference.
+            * "clustered" - One-way cluster dependent inference.
               Heteroskedasticity robust
 
         debiased : bool
@@ -976,7 +976,7 @@ class _IVGMMBase(_IVModelBase):
     * "robust", "heteroskedastic" - Allows for heteroskedasticity by not
       autocorrelation
     * "kernel" - Allows for heteroskedasticity and autocorrelation
-    * "cluster" - Allows for one-way cluster dependence
+    * "clustered" - Allows for one-way cluster dependence
 
     The estimator is defined as
 
@@ -1079,7 +1079,7 @@ class IVGMM(_IVGMMBase):
     * "robust", "heteroskedastic" - Allows for heteroskedasticity by not
       autocorrelation
     * "kernel" - Allows for heteroskedasticity and autocorrelation
-    * "cluster" - Allows for one-way cluster dependence
+    * "clustered" - Allows for one-way cluster dependence
 
     The estimator is defined as
 
@@ -1245,7 +1245,7 @@ def fit(
             * "robust", "heteroskedastic" - Allows for heteroskedasticity but
               not autocorrelation
             * "kernel" - Allows for heteroskedasticity and autocorrelation
-            * "cluster" - Allows for one-way cluster dependence
+            * "clustered" - Allows for one-way cluster dependence
 
         debiased : bool
             Flag indicating whether to debiased the covariance estimator using
@@ -1355,7 +1355,7 @@ class IVGMMCUE(_IVGMMBase):
     * "robust", "heteroskedastic" - Allows for heteroskedasticity by not
       autocorrelation
     * "kernel" - Allows for heteroskedasticity and autocorrelation
-    * "cluster" - Allows for one-way cluster dependence
+    * "clustered" - Allows for one-way cluster dependence
 
     In most circumstances, the ``center`` weight option should be ``True`` to
     avoid starting value dependence.

diff --git a/linearmodels/panel/model.py b/linearmodels/panel/model.py
@@ -1,7 +1,5 @@
 from __future__ import annotations
 
-from linearmodels.compat.formulaic import monkey_patch_materializers
-
 from collections.abc import Mapping
 from typing import Any, NamedTuple, Union, cast
 
@@ -58,9 +56,6 @@
 from linearmodels.shared.utility import AttrDict, ensure_unique_column, panel_to_frame
 import linearmodels.typing.data
 
-# Monkey patch parsers if needed, remove once formulaic updated
-monkey_patch_materializers()
-
 CovarianceEstimator = Union[
     ACCovariance,
     ClusteredCovariance,

diff --git a/linearmodels/shared/hypotheses.py b/linearmodels/shared/hypotheses.py
@@ -1,7 +1,5 @@
 from __future__ import annotations
 
-from linearmodels.compat.formulaic import monkey_patch_materializers
-
 from collections.abc import Mapping
 
 from formulaic.utils.constraints import LinearConstraints
@@ -11,9 +9,6 @@
 
 import linearmodels.typing.data
 
-# Monkey patch parsers if needed, remove once formulaic updated
-monkey_patch_materializers()
-
 
 class WaldTestStatistic:
     """

diff --git a/linearmodels/system/model.py b/linearmodels/system/model.py
@@ -14,8 +14,6 @@
 
 from __future__ import annotations
 
-from linearmodels.compat.formulaic import monkey_patch_materializers
-
 from collections.abc import Mapping, Sequence
 from functools import reduce
 import textwrap
@@ -61,9 +59,6 @@
 
 __all__ = ["SUR", "IV3SLS", "IVSystemGMM", "LinearConstraint"]
 
-# Monkey patch parsers if needed, remove once formulaic updated
-monkey_patch_materializers()
-
 UNKNOWN_EQ_TYPE = """
 Contents of each equation must be either a dictionary with keys "dependent"
 and "exog" or a 2-element tuple of he form (dependent, exog).

diff --git a/requirements.txt b/requirements.txt
@@ -5,6 +5,6 @@ statsmodels>=0.13.0
 mypy_extensions>=0.4
 Cython>=3.0.10
 pyhdfe>=0.1
-formulaic>=1.0.0
+formulaic>=1.0.2
 # versioning
 setuptools_scm[toml]>=8.0.0,<9.0.0