Publication-Ready Analysis Bundles¶
Python-facing port of
publication-analysis-bundles.Rmdfrom the frozen R gp3bayes 0.5.0 reference. The statistical and governance framing below follows the canonical vignette; executable Python workflows use the mapped APIs listed later.
The analysis-bundle layer assembles post-fit evidence while preserving the distinction between computation, presentation, and interpretation.
No component is silently dropped: failures are retained in the bundle status table with their error message.
Explicit output¶
Reports and figures require explicit paths.
This design prevents analysis functions from writing automatically to the working directory and keeps publication formatting downstream of the model contract and validation objects.
Python API mapping¶
gp3bayespy.analysis_bundle_tablegp3bayespy.create_analysis_bundlegp3bayespy.create_analysis_figure_setgp3bayespy.create_publication_table_setgp3bayespy.save_figure_setgp3bayespy.write_analysis_bundle_report
Python usage¶
import gp3bayespy as gp
# All functions listed above are available from the package root.
# Use help(gp.<function>) or the API reference for the exact Python signature.