Add pybmclogo.png to docs and fix branding to lowercase pybmc

Co-authored-by: kylegodbey <5806808+kylegodbey@users.noreply.github.com>

Author: Copilot

AUTHORS.md

@@ -11,7 +11,7 @@
 
 ## Acknowledgments
 
-- We thank the developers of the following libraries that make pyBMC possible:
+- We thank the developers of the following libraries that make pybmc possible:
   - NumPy
   - SciPy
   - pandas

CONTRIBUTING.md

@@ -1,6 +1,6 @@
-# Contributing to pyBMC
+# Contributing to pybmc
 
-We welcome contributions from the community! This document outlines how you can contribute to the pyBMC project.
+We welcome contributions from the community! This document outlines how you can contribute to the pybmc project.
 
 ## Getting Started
 
@@ -78,4 +78,4 @@ When reporting issues, please include:
 
 ## License
 
-By contributing to pyBMC, you agree that your contributions will be licensed under the MIT License.
+By contributing to pybmc, you agree that your contributions will be licensed under the MIT License.

README.md

@@ -84,7 +84,7 @@ If you use pybmc in your research, please cite:
 
 ```bibtex
 @software{pybmc,
-  title = {pyBMC: Bayesian Model Combination},
+  title = {pybmc: Bayesian Model Combination},
   author = {Kyle Godbey and Troy Dasher and Pablo Giuliani and An Le},
   year = {2025},
   publisher = {GitHub},

docs/CONTRIBUTING.md

@@ -1,6 +1,6 @@
-# Contributing to pyBMC
+# Contributing to pybmc
 
-We welcome contributions from the community! This document outlines how you can contribute to the pyBMC project.
+We welcome contributions from the community! This document outlines how you can contribute to the pybmc project.
 
 ## Getting Started
 
@@ -78,4 +78,4 @@ When reporting issues, please include:
 
 ## License
 
-By contributing to pyBMC, you agree that your contributions will be licensed under the GPL-3.0 License.
+By contributing to pybmc, you agree that your contributions will be licensed under the GPL-3.0 License.

docs/assets/pybmclogo.png

@@ -1,10 +1,10 @@
-# pyBMC Documentation
+# pybmc Documentation
 
-Welcome to the official documentation for pyBMC, a Python package for general Bayesian Model Combination (BMC).
+Welcome to the official documentation for pybmc, a Python package for general Bayesian Model Combination (BMC).
 
 ## Overview
 
-pyBMC provides a comprehensive framework for combining multiple predictive models using Bayesian statistics. Key features include:
+pybmc provides a comprehensive framework for combining multiple predictive models using Bayesian statistics. Key features include:
 
 - **Data Management**: Load and preprocess various types of data from HDF5 and CSV files
 - **Orthogonalization**: Transform model predictions using Singular Value Decomposition (SVD)
@@ -29,7 +29,7 @@ For a detailed walkthrough, please see the [Usage Guide](usage.md).
 - [Usage Guide](usage.md): Detailed examples and tutorials
 - [API Reference](api_reference.md): Complete documentation of all classes and functions
 - [Theory Background](theory.md): Mathematical foundations of Bayesian model combination
-- [Contributing](contributing.md): How to contribute to pyBMC
+- [Contributing](contributing.md): How to contribute to pybmc
 
 ## Support
 

docs/index.md

@@ -60,8 +60,8 @@ theme:
       bug: octicons/bug-16
       example: octicons/beaker-16
       quote: octicons/quote-16
-  logo: assets/logo.svg
-  favicon: assets/logo.svg
+  logo: assets/pybmclogo.png
+  favicon: assets/pybmclogo.png
 
 markdown_extensions:
   - admonition