update docs

Author: kunwuz

docs/source/independence_tests_index/chisq.rst

@@ -5,12 +5,14 @@ Chi-Square test
 
 Perform an independence test on discrete variables using Chi-Square test.
 
+(We have updated the independence test class and the usage example hasn't been updated yet. For new class, please refer to `TestCIT.py <https://github.com/cmu-phil/causal-learn/blob/main/tests/TestCIT.py>`_ or `TestCIT_KCI.py <https://github.com/cmu-phil/causal-learn/blob/main/tests/TestCIT_KCI.py>`_.)
+
 Usage
 --------
 .. code-block:: python
 
-    from causallearn.utils.cit import cit
-    p = cit.CIT(data, 'chisq')
+    from causallearn.utils.cit import chisq
+    p = chisq(data, X, Y, conditioning_set)
 
 
 Parameters

docs/source/independence_tests_index/fisherz.rst

@@ -5,6 +5,9 @@ Fisher-z test
 
 Perform an independence test using Fisher-z's test [1]_. This test is optimal for linear-Gaussian data.
 
+(We have updated the independence test class and the usage example hasn't been updated yet. For new class, please refer to `TestCIT.py <https://github.com/cmu-phil/causal-learn/blob/main/tests/TestCIT.py>`_ or `TestCIT_KCI.py <https://github.com/cmu-phil/causal-learn/blob/main/tests/TestCIT_KCI.py>`_.)
+
+
 Usage
 --------
 .. code-block:: python

docs/source/independence_tests_index/gsq.rst

@@ -5,6 +5,9 @@ G-Square test
 
 Perform an independence test using G-Square test [1]_. This test is based on the log likelihood ratio test.
 
+(We have updated the independence test class and the usage example hasn't been updated yet. For new class, please refer to `TestCIT.py <https://github.com/cmu-phil/causal-learn/blob/main/tests/TestCIT.py>`_ or `TestCIT_KCI.py <https://github.com/cmu-phil/causal-learn/blob/main/tests/TestCIT_KCI.py>`_.)
+
+
 Usage
 --------
 .. code-block:: python

docs/source/independence_tests_index/kci.rst

@@ -7,6 +7,9 @@ Kernel-based conditional independence (KCI) test and independence test [1]_.
 To test if x and y are conditionally or unconditionally independent on Z. For unconditional independence tests,
 Z is set to the empty set.
 
+(We have updated the independence test class and the usage example hasn't been updated yet. For new class, please refer to `TestCIT.py <https://github.com/cmu-phil/causal-learn/blob/main/tests/TestCIT.py>`_ or `TestCIT_KCI.py <https://github.com/cmu-phil/causal-learn/blob/main/tests/TestCIT_KCI.py>`_.)
+
+
 Usage
 --------
 .. code-block:: python

docs/source/independence_tests_index/mvfisherz.rst

@@ -6,6 +6,9 @@ Missing-value Fisher-z test
 Perform a testwise-deletion Fisher-z independence test to data sets with missing values.
 With testwise-deletion, the test makes use of all data points that do not have missing values for the variables involved in the test.
 
+(We have updated the independence test class and the usage example hasn't been updated yet. For new class, please refer to `TestCIT.py <https://github.com/cmu-phil/causal-learn/blob/main/tests/TestCIT.py>`_ or `TestCIT_KCI.py <https://github.com/cmu-phil/causal-learn/blob/main/tests/TestCIT_KCI.py>`_.)
+
+
 Usage
 --------
 .. code-block:: python