# rmcelreath/statrethinking_winter2019

Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

Repository: https://github.com/rmcelreath/statrethinking_winter2019
Canonical: https://ross.abutalabs.com/products/statrethinking_winter2019
License Family: other
Last push: 2020-05-24T10:53:55+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2870, "days_push": 2292, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2020, forks 385 (observed 2026-08-28T04:06:06.260243+00:00)

## What it is
Course materials for Richard McElreath's Statistical Rethinking Bayesian statistics course taught at MPI-EVA in winter 2018/2019. It includes lecture videos, slides, homework problem sets with solutions, and instructions for the accompanying R/rethinking package.

## Use cases
- learn bayesian statistics from scratch
- find statistical rethinking 2019 lecture videos
- get homework solutions for statistical rethinking course
- learn to fit bayesian models with Stan and R
- self-study a university-level bayesian inference course
- convert statistical rethinking examples to Python

## When to choose
- you want a complete free Bayesian statistics course with video lectures
- you are following the Statistical Rethinking book and want companion materials
- you prefer learning through worked problem sets with solutions

## When to avoid
- you need maintained or updated course materials for the latest book edition
- you want a software library rather than course content
- you need materials under an open license for redistribution

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: data-science, machine-learning
- domain: data-science, education, tutorials
- platform: python, cross-platform
- tags: bayesian-statistics, course-materials, r, stan, lectures, homework

## Member repositories
- rmcelreath/statrethinking_winter2019 (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:06.260243+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 2026-08-30T03:00:17.256069+00:00, confidence not recorded.
  - readme: https://github.com/rmcelreath/statrethinking_winter2019 (fetched 2026-08-28T04:06:06.260243+00:00, sha 4a9a5bee8310)
- Data as of 2026-08-30T08:39:29.467469+00:00.