Merge pull request #22 from aangelopoulos/Michael-Howes/main

[add docs for power analysis]
aangelopoulos · Dec 22, 2024 · 5300578 · 5300578
2 parents 63d1782 + 76e0497
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diff --git a/docs/source/README.rst b/docs/source/README.rst
@@ -101,3 +101,7 @@ The repository currently implements the methods developed in the following paper
 `PPI++: Efficient Prediction-Powered Inference <https://arxiv.org/abs/2311.01453>`_
 
 `Cross-Prediction-Powered Inference <https://arxiv.org/abs/2309.16598>`_
+
+`Prediction-Powered Bootstrap <https://arxiv.org/abs/2405.18379>`_
+
+`The Mixed Subjects Design: Treating Large Language Models as  (Potentially) Informative Observations <https://osf.io/preprints/socarxiv/j3bnt>`_`
diff --git a/docs/source/index.rst b/docs/source/index.rst
@@ -35,6 +35,7 @@ To install the package, run the following code!
    ppi
    crossppi
    baselines
+   ppi_power_analysis
 
 Indices and tables:
 

diff --git a/docs/source/ppi_power_analysis.rst b/docs/source/ppi_power_analysis.rst
@@ -0,0 +1,11 @@
+
+API Reference for Baselines
+===========================
+
+Documentation for functions implementing power analyses for PPI can be found here.
+
+.. autofunction:: ppi_py.ppi_power
+.. autofunction:: ppi_py.ppi_mean_power
+.. autofunction:: ppi_py.ppi_ols_power
+.. autofunction:: ppi_py.ppi_logistic_power
+.. autofunction:: ppi_py.ppi_poisson_power
diff --git a/setup.py b/setup.py
@@ -5,7 +5,7 @@
 
 setup(
     name="ppi-python",
-    version="0.2.2",
+    version="0.2.3",
     packages=find_packages(),
     include_package_data=True,
     description="Prediction-Powered Inference",