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Parameter Recovery Diagnostics for Publication

Python-facing port of recovery-diagnostics-for-publication.Rmd from 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.

Recovery objects retain parameter summaries, repetition-level estimates, and fit statuses. The publication layer exposes each separately.

Recovery evidence remains a validation diagnostic; no figure certifies an implementation or model automatically.

Python API mapping

  • gp3bayespy.plot_recovery_bias
  • gp3bayespy.plot_recovery_coverage
  • gp3bayespy.plot_recovery_estimates
  • gp3bayespy.plot_recovery_fit_status
  • gp3bayespy.plot_recovery_rmse
  • gp3bayespy.recovery_estimate_table
  • gp3bayespy.recovery_fit_status_table
  • gp3bayespy.recovery_parameter_table

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.