Comprehensive Bayesian inference framework with probabilistic modeling, uncertainty quantification, and computational methods for geospatial data.
config/docs/examples/src/tests/SKILL.mdmcmc_traces.pngmean_prediction.pngposterior_distributions.pngpyproject.tomlspatial_data.pnguncertainty.png
- No public Python symbols are defined directly in this directory.
- Module:
GEO-INFER-BAYES - Package:
geo_infer_bayes - Version:
0.4.0 - Install:
uv sync --package geo-infer-bayes - Tests:
uv run python GEO-INFER-TEST/run_unified_tests.py --module BAYES
arviz>=0.12.0matplotlib>=3.5.0numpy>=1.20.0,<2.0pandas>=1.3.0scipy>=1.7.0tqdm>=4.60.0xarray>=2022.3.0
uv run python GEO-INFER-TEST/run_unified_tests.py --module BAYES- Spatial prediction, uncertainty, posterior, and model-comparison plots validate finite aligned numeric inputs and confidence levels.
- Spatial prediction handles the single-panel case when uncertainty is omitted and returns a valid figure for both single- and multi-panel layouts.
This README describes current repository state only. Keep examples and claims tied to importable code, tracked files, or validation commands.