Alternatives and similar repositories for Bayes-multilevel-tutorial

Users that are interested in Bayes-multilevel-tutorial are comparing it to the libraries listed below

• 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.
  ☆30Updated last year
• debruine / data-sim-workshops
  Data simulation workshop materials and associated R package
  ☆17Updated last year
• kaz-yos / bayes2018
  My notes on Bayesian statistics in Stan, etc (2018-)
  ☆14Updated 5 years ago
• edrubin / EC607S22
  Causal-inference oriented doctoral econometrics course at UO
  ☆14Updated 3 years ago
• edrubin / EC524W22
  Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2022) Taug…
  ☆20Updated 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 3 years ago
• malcolmbarrett / causal_inference_r_workshop_solutions
  ☆28Updated 4 months ago
• CJFariss / R-Program-Challenges
  R Program Challenges for my Essex graduate summer school course and my University of Michigan undergraduate data science course.
  ☆16Updated 5 months ago
• bayes-rules / undergrad-bayes
  Undergraduate Bayesian Education Resources
  ☆19Updated 2 years ago
• alexpghayes / linear-probability-model
  meme heavy slides on the linear probability model
  ☆10Updated 6 years ago
• emptyfield-ds / teaching_warehouse
  Warehouse of (Raw) Teaching Materials
  ☆16Updated 2 months ago
• QCBSRworkshops / workshop07
  Workshop 7 - General and generalized linear mixed models (LMM and GLMM)
  ☆11Updated last year
• mkshaw / learn-mlms
  Materials for students to learn and instructors to teach multilevel modelling.
  ☆30Updated last year
• m-clark / latent-variable-models-workshop-2019
  A workshop on latent variables models including factor analysis, PCA, SEM, etc.
  ☆15Updated 6 years ago
• saudiwin / panelsim
  Simulation and power analysis of panel/hierarchical data that allows for independently generating effects by cross-section (between-subje…
  ☆18Updated 7 months ago
• andrewheiss / bayesf22-notebook
  ☆18Updated 3 years ago
• verenakunz / Causal-Inference-for-Beginning-Undergraduates
  An introductory course on causal inference. Designed for undergraduate students with only a working knowledge of R and multiple regressio…
  ☆21Updated 5 years ago
• malcolmbarrett / designing_ggplots_slides
  Slides for the workshop Designing ggplots
  ☆11Updated 4 years ago
• andrewheiss / evalf20.classes.andrewheiss.com
  ☆15Updated 3 years ago
• r-causal / causalworkshop
  Install Workshop Materials for Causal Inference in R
  ☆24Updated 3 months ago
• debruine / lmem_sim
  Materials for a paper in AMPPS simulation special issue https://osf.io/3cz2e/
  ☆27Updated 4 years ago
• simonpcouch / tidymodels-uw-2023
  Source and slides for "Why you should be using tidymodels" at UW-Madison
  ☆18Updated 2 years ago
• stefanocoretta / tidygam
  ☆17Updated last year
• mikedecr / causal-bayes
  A paper about causal inference with Bayesian modeling
  ☆15Updated 5 years ago
• andrewheiss / closing-backdoors-dags
  Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data
  ☆14Updated 5 years ago
• JBGruber / python_for_r_users
  UA Workshop: Python for R users
  ☆24Updated 2 years ago
• m-clark / generalized-additive-models-workshop-2019
  A workshop on using generalized additive models and the mgcv package.
  ☆28Updated 6 years ago
• r-causal / halfmoon
  Techniques to Build Better Balance in Propensity Score Models
  ☆21Updated last month
• jackobailey / britpol
  Data and Functions for Studying British Politics
  ☆17Updated 2 years ago
• m-clark / mixed-models-with-r-workshop-2019
  Workshop on using Mixed Models with R
  ☆24Updated 6 years ago