# rmcelreath/stat_rethinking_2024

Repository: https://github.com/rmcelreath/stat_rethinking_2024
Canonical: https://ross.abutalabs.com/products/stat_rethinking_2024
Language: R
License: CC0-1.0
License Family: permissive
Last push: 2024-03-08T10:06:51+00:00

## Health v2 (maintenance only)
Score: 27/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 72
- inputs: {"age_days": 1011, "days_push": 908, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1819, forks 214 (observed 2026-08-28T04:05:40.767310+00:00)

## What it is
Course materials for Richard McElreath's Statistical Rethinking 2024 edition, a 10-week course on Bayesian data analysis with a focus on causal scientific models. The repository hosts lecture links, slides, and a weekly schedule accompanying the Statistical Rethinking book.

## Use cases
- learn bayesian data analysis from scratch
- find lectures on causal inference and statistical modeling
- study statistical rethinking course materials
- self-study bayesian statistics with problem sets
- learn R for bayesian modeling

## When to choose
- you want a structured, video-based introduction to Bayesian statistics
- you prefer conceptual, causal-model-first teaching
- you are a biologist or social scientist analyzing imperfect data

## When to avoid
- you need maintained software or code libraries
- you want frequent-frequentist or purely mathematical statistics training
- you need a course with open enrollment (registration is capped)

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: data-science, developer-tools
- domain: data-science, education, tutorials
- platform: cross-platform
- tags: bayesian-statistics, course-materials, r, causal-inference, lectures, statistical-rethinking

## Member repositories
- rmcelreath/stat_rethinking_2024 (main) score 27

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:40.767310+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:20:02.334841+00:00, confidence not recorded.
  - readme: https://github.com/rmcelreath/stat_rethinking_2024 (fetched 2026-08-28T04:05:40.767310+00:00, sha 52685f47b4d2)
- Data as of 2026-08-30T08:39:29.467469+00:00.