bnns 1.0.0

• New Feature: Added full support for the tidymodels ecosystem, including integration with parsnip, recipes, workflows, and tune.
• New Feature: Added GPU acceleration support for fitting Bayesian Neural Networks via OpenCL and cmdstanr.
• New Feature: Introduced model evaluation metrics using Leave-One-Out (LOO) cross-validation (loo.bnns()) and Watanabe-Akaike Information Criterion (waic.bnns()).
• New Feature: Added save_bnns() and load_bnns() functions for easy saving and loading of trained models.
• New Feature: Added a plot.bnns() method for visualizing posterior distributions and model convergence.
• New Feature: Added option to provide character input for act_fn and out_act_fn arguments.
• Changed the package to stable lifecycle and prepared for CRAN submission.
• Removed cmdstanr from package dependencies. It is now accessed dynamically to comply with CRAN policies.
• Removed the manual rhub GitHub Actions badge from the README.
• Added CODE_OF_CONDUCT.md.

bnns 0.1.2.9000

• Added a NEWS.md file to track changes to the package.