ArviZPythonPlots

ArviZPlots (unregistered)

MCMCDiagnosticTools

InferenceObjects

ArviZExampleData

DimensionalData (external)

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Examples gallery
- Overview
- Distribution
- Posterior comparison
- Inference diagnostics
- Predictive checks
- Prior and likelihood sensitivity checks
  - Sensitivity posterior marginals
  - Sensitivity posterior quantities
- Model comparison
- Simulation based calibration
  - PIT-ECDF
  - Coverage ECDF
- Mixed
API

Version

API
API Overview

API Overview

API Overview

See Input conversions for which Julia types each plotting function accepts.

Input conversions
Plotting styles
rcParams
Plotting functions

« Custom diagnostic plots combination Input conversions »

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This document was generated with Documenter.jl version 1.17.0 on Tuesday 7 July 2026. Using Julia version 1.12.6.