Alternatives and similar repositories for lander-stan-class-2021:

Users that are interested in lander-stan-class-2021 are comparing it to the libraries listed below

• ajnafa / Bayesian-IPW
  ☆16Updated 3 years ago
• michael-franke / Bayesian-Regression
  Material for a course on (intermediate) Bayesian regression modeling
  ☆19Updated 8 months ago
• jhrcook / bayesian-data-analysis-course
  My notes and work for the Bayesian Data Analysis course taught by Aki Vehtari.
  ☆13Updated 2 years ago
• denis-cohen / statmodeling
  Workshop Materials "Advanced Bayesian Statistical Modeling in R and Stan "
  ☆11Updated last year
• FJRubio67 / ODESurv
  Survival modelling via ODEs
  ☆10Updated 5 months ago
• kaz-yos / bayes2018
  My notes on Bayesian statistics in Stan, etc (2018-)
  ☆14Updated 4 years ago
• andrewheiss / bayesf22-notebook
  ☆18Updated 2 years ago
• andrewheiss / closing-backdoors-dags
  Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data
  ☆13Updated 4 years ago
• mikedecr / causal-bayes
  A paper about causal inference with Bayesian modeling
  ☆15Updated 5 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…
  ☆15Updated 4 years ago
• bbolker / bbmisc
  miscellaneous talks and small projects
  ☆12Updated 3 weeks ago
• andrewheiss / bayesf22.classes.andrewheiss.com
  📊 🌐 🧑‍🏫 Website for PhD-level independent readings course on Bayesian statistics with R and Stan, built with Quarto
  ☆40Updated 2 years ago
• ajnafa / Latent-Bayesian-MSM
  Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science
  ☆18Updated 2 years ago
• myaseen208 / StroupGLMM
  R Codes and Datasets for Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup
  ☆14Updated 4 months ago
• alexpghayes / linear-probability-model
  meme heavy slides on the linear probability model
  ☆11Updated 5 years ago
• r-causal / causalworkshop
  Install Workshop Materials for Causal Inference in R
  ☆20Updated 6 months ago
• andrewheiss / 2021-seacen
  Two sessions for SEACEN's November 2021 online course on "Data Analytics for Macroeconomic Surveillance"
  ☆11Updated 3 years ago
• paul-buerkner / custom-brms-families
  R scripts for custom brms families
  ☆14Updated 7 months ago
• andrewheiss / diff-means-half-dozen-ways
  Run standard t-tests, simulations, and Bayesian difference in means tests with R and Stan
  ☆30Updated last year
• edrubin / EC607S22
  Causal-inference oriented doctoral econometrics course at UO
  ☆14Updated 2 years ago
• andrewheiss / evalf20.classes.andrewheiss.com
  ☆15Updated 2 years ago
• andrewheiss / testy-turtle
  📊 📄 Suparna Chaudhry and Andrew Heiss, "Are Donors Really Responding? Analyzing the Impact of Global Restrictions on NGOs"
  ☆10Updated 10 months ago
• matloff / dsld
  A statistical and graphical toolkit for analyzing data for possible patterns of discrimination (racial, gender, age, etc.)
  ☆12Updated last week
• jrnold / bugs-examples-in-stan
  Simon Jackman's "BUGS Examples" translated into Stan
  ☆16Updated 6 years ago
• alexgao09 / structuredpriorsmrp_public
  Repository for reproducing results in structured priors MRP paper
  ☆17Updated 4 years ago
• avehtari / casestudies
  ☆27Updated 4 months ago
• malcolmbarrett / stan-book
  Repository for book "Bayesian Statistics Using Stan", text files in Rmarkdown, plus example data, Stan models, and scripts
  ☆15Updated 6 years ago
• mark-andrews / gesis-48-bayesian-multilevel
  Bayesian multilevel models course for Gesis 48. March 2019
  ☆13Updated 5 years ago
• aalthous / RCT-Simulations
  Introduction to simulation of randomized controlled trials in R
  ☆25Updated 2 years ago
• ropensci / dynamite
  Bayesian Inference of Complex Panel Data
  ☆29Updated 3 months ago