Alternatives and similar repositories for Bayesian-Regression

Users that are interested in Bayesian-Regression are comparing it to the libraries listed below

• jhrcook / bayesian-data-analysis-course
  My notes and work for the Bayesian Data Analysis course taught by Aki Vehtari.
  ☆17Updated 2 years ago
• bayes-rules / undergrad-bayes
  Undergraduate Bayesian Education Resources
  ☆19Updated 2 years ago
• paul-buerkner / Bayesian-IRT-paper
  This repository contains all materials for the paper "Bayesian Item Response Modelling in R Using brms and Stan" by Paul Bürkner.
  ☆28Updated last year
• QCBSRworkshops / workshop07
  Workshop 7 - General and generalized linear mixed models (LMM and GLMM)
  ☆11Updated last year
• mattelisi / Bayes-multilevel-tutorial
  A tutorial on Bayesian multilevel modeling using R and Stan.
  ☆14Updated 3 years ago
• ajnafa / Bayesian-IPW
  ☆16Updated 3 years ago
• emptyfield-ds / teaching_warehouse
  Warehouse of (Raw) Teaching Materials
  ☆16Updated last month
• andrewheiss / bayesf22-notebook
  ☆18Updated 2 years ago
• stefanocoretta / tidygam
  ☆17Updated 8 months ago
• MJAlexander / intro_bayes_workshop
  Materials for intro to Bayesian models
  ☆16Updated last year
• r-causal / causalworkshop
  Install Workshop Materials for Causal Inference in R
  ☆23Updated this week
• Rensvandeschoot / Tutorials
  Underlying code for the online stats training website.
  ☆19Updated 3 years ago
• jgabry / lander-stan-class-2021
  Lander Analytics Bayes/Stan Class 2021
  ☆10Updated 4 years ago
• lmu-osc / Collaborative-RStudio-GitHub
  ☆20Updated 2 months ago
• sims1253 / bayesfam
  ☆16Updated last month
• aalthous / RCT-Simulations
  Introduction to simulation of randomized controlled trials in R
  ☆26Updated 3 years ago
• andrewheiss / bayesf22.classes.andrewheiss.com
  📊 🌐 🧑‍🏫 Website for PhD-level independent readings course on Bayesian statistics with R and Stan, built with Quarto
  ☆43Updated 2 years ago
• m-clark / generalized-additive-models-workshop-2019
  A workshop on using generalized additive models and the mgcv package.
  ☆27Updated 6 years ago
• becarioprecario / INLAMCMC_examples
  Examples on INLA within MCMC
  ☆12Updated 8 years ago
• robertgrant / dataviz-book
  "Data Visualization: charts, maps and interactive graphics" (the making of)
  ☆28Updated 3 years ago
• kaz-yos / bayes2018
  My notes on Bayesian statistics in Stan, etc (2018-)
  ☆14Updated 4 years ago
• vizdata-s23 / vizdata-s23
  ☆10Updated last year
• malcolmbarrett / designing_ggplots_slides
  Slides for the workshop Designing ggplots
  ☆11Updated 3 years ago
• denis-cohen / statmodeling
  Workshop Materials "Advanced Bayesian Statistical Modeling in R and Stan "
  ☆12Updated last year
• ajohns24 / r-ladies-philly
  Workshop materials for R-Ladies Philly.
  ☆15Updated 3 years ago
• rstudio-education / communicate-rmd-workshop
  Communicating with R Markdown workshop
  ☆18Updated 5 years ago
• maugavilla / well_hello_stats
  Tutorials to learn R from scratch
  ☆12Updated 2 weeks ago
• ajwills72 / rminr
  Research Methods in R
  ☆32Updated 10 months ago
• andrewheiss / 2021-seacen
  Two sessions for SEACEN's November 2021 online course on "Data Analytics for Macroeconomic Surveillance"
  ☆11Updated 3 years ago
• CoryMcCartan / adjustr
  An R package to help assess the sensitivity of a Bayesian model (fitted with Stan) to the specification of its likelihood and priors
  ☆10Updated 5 months ago