Alternatives and similar repositories for stat_rethinking_2025

Users that are interested in stat_rethinking_2025 are comparing it to the libraries listed below

• MatsuuraKentaro / Bayesian_Statistical_Modeling_with_Stan_R_and_Python
  Kentaro Matsuura (2022). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
  ☆141Updated 10 months ago
• ASKurz / Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse_2_ed
  The bookdown version lives here:
  ☆134Updated 2 years ago
• rmcelreath / causal_salad_2021
  One day course on causal inference, MPI-EVA 9 September 2021
  ☆250Updated 3 years ago
• behrman / ros
  Regression and Other Stories - Tidyverse Examples
  ☆104Updated 4 years ago
• ASKurz / Doing-Bayesian-Data-Analysis-in-brms-and-the-tidyverse
  The bookdown version lives here: https://bookdown.org/content/3686
  ☆152Updated 7 months ago
• royal-statistical-society / datavisguide
  Introductory guide to the art and science of data visualisation. Insights, advice, and examples (with code) to make data outputs more rea…
  ☆162Updated last year
• bayesianops / stan-survival-model-workshop
  Building a Survival Model in Stan.
  ☆57Updated 2 years ago
• rmcelreath / PhD_planning_template
  Outline for planning PhD projects
  ☆116Updated 5 years ago
• bayes-rules / bayesrules
  📦 R package for Supplemental Materials for the Bayes Rules! Book
  ☆73Updated 3 years ago
• benjamin-rosenbaum / bayesian-intro
  Introduction to Bayesian statistics
  ☆114Updated last month
• stan-dev / posterior
  The posterior R package
  ☆168Updated last week
• Lakens / statistical_inferences
  Repository for the textbook 'Improving Your Statistical Inferences' by Daniel Lakens
  ☆292Updated 2 months ago
• r-causal / causal-inference-in-R
  Causal Inference in R: A book!
  ☆234Updated 2 weeks ago
• julianfaraway / rexamples
  worked R examples
  ☆118Updated last year
• ASKurz / Working-through-Regression-and-other-stories
  Working through "Regression and other stories," one chapter at a time
  ☆56Updated 2 years ago
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆81Updated 2 years ago
• flatironinstitute / stan-playground
  Run Stan models in the browser
  ☆53Updated this week
• lindeloev / mcp
  Regression with Multiple Change Points
  ☆115Updated last year
• vincentarelbundock / rethinking2
  ☆81Updated 2 years ago
• vincentarelbundock / marginaleffects
  R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 clas…
  ☆573Updated last week
• m-clark / book-of-models
  Spells for everyday living, also a book -- Models Demystified -- now available!
  ☆83Updated 3 months ago
• kathoffman / causal-inference-visual-guides
  A collection of visual guides to help applied scientists learn causal inference.
  ☆289Updated 3 years ago
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆171Updated 3 years ago
• rmcelreath / intro_to_stan_stancon2024
  Introductory tutorial on the Stan language
  ☆22Updated last year
• donaldRwilliams / BGGM
  Bayesian Gaussian Graphical Models
  ☆59Updated last week
• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆91Updated last month
• mjskay / uncertainty-examples
  Uncertainty visualization examples
  ☆114Updated last year
• RohanAlexander / tswd
  Telling Stories with Data
  ☆140Updated 5 months ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• dustinfife / flexplot
  flexplot: graphical data analysis
  ☆93Updated last month