{"categories":[{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/2"}],"enrichment":{"capability":"Provides statistical computations and diagnostic functions for Bayesian model analysis, including posterior analysis, model checking, and comparison metrics.","skillfed_tags":["bayesian-inference","diagnostics","statistics"],"use_cases":["Computing convergence diagnostics (Rhat, effective sample size) for MCMC chains after inference","Generating posterior predictive checks and model comparison statistics for Bayesian model validation","Integrating Bayesian diagnostics into custom inference pipelines without adopting xarray","Analyzing posterior samples from Stan, PyMC, or other Bayesian inference libraries","Building downstream tools that need standardized Bayesian statistical summaries"],"what_it_does":"arviz-stats is the statistical computation subpackage within the ArviZ ecosystem for Bayesian model analysis. It handles the core diagnostics and statistical summaries needed after running Bayesian inference, such as convergence checks, posterior summaries, and model comparison metrics. The package is designed as a modular component that can be used standalone with just numpy and scipy, or integrated into the broader ArviZ suite with xarray support for richer data structures.\n\nThe package targets both researchers doing exploratory Bayesian analysis and library developers who want to compute diagnostics without adopting the full ArviZ dependency tree. It supports current Python versions (3.12+) and maintains active development with regular updates.","worth_installing":"Yes, if you work with Bayesian models and need standard diagnostics and posterior analysis. The low dependency footprint (numpy, scipy only) and active maintenance make it a practical choice. Install with the optional xarray extra for full feature access, or use the minimal version if you're integrating into a library with strict dependencies."},"id":"arviz-stats","links":{"html":"https://skillfed.io/packages/arviz-stats","md":"https://skillfed.io/packages/arviz-stats.md","pypi":"https://pypi.org/project/arviz-stats/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-11","license_spdx":null,"license_treatment":"permissive","name":"arviz-stats","python_support":"supports_current","summary":"Statistical computation and diagnostics for ArviZ."},"popularity":{"monthly_downloads":730936,"position":5208,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.3.0"}