Alternatives and similar repositories for Bayes

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

• kolesarm / Robust-Small-Sample-Standard-Errors
  Degrees of freedom adjustments for robust standard errors described in Imbens and Kolesár (2016, Review of Economics and Statistics)
  ☆31Updated last year
• ngreifer / cobalt
  Covariate Balance Tables and Plots - An R package for assessing covariate balance
  ☆80Updated this week
• sejdemyr / ecls
  Processing data from the Early Childhood Longitudinal Study (ECLS)
  ☆32Updated last year
• vincentarelbundock / rethinking2
  ☆81Updated 2 years ago
• joonho112 / Bayesian-causal-inference
  Tutorials on Stan for Bayesian causal inference
  ☆19Updated 7 months ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆29Updated 8 months 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
• carloscinelli / sensemakr
  Suite of sensitivity analysis tools for OLS
  ☆97Updated last year
• JuanLopezMartin / MRPCaseStudy
  An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.
  ☆41Updated 3 years ago
• mattblackwell / DirectEffects
  An R package for estimating controlled direct effects.
  ☆19Updated 11 months ago
• ajnafa / Latent-Bayesian-MSM
  Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science
  ☆21Updated 3 years ago
• ssp3nc3r / rethinking
  Examples from McElreath's Statistical Rethinking, First edition coded in Stan.
  ☆50Updated 6 years ago
• rstudio-education / r4ds-instructors
  Instructors' Guide to accompany "R for Data Science"
  ☆52Updated 7 years ago
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆82Updated last week
• matthieugomez / statar
  R package for data manipulation — inspired by Stata's API
  ☆56Updated 6 months ago
• justingrimmer / CausalInf
  This the repository for the Spring Causal Inference Course
  ☆45Updated 6 years ago
• jknowles / MultilevelModelTutorialsR
  A series of tutorials for multilevel modeling in R!
  ☆16Updated 6 years ago
• xuyiqing / interflex
  Multiplicative Interaction Models Diagnostics and Visualization, Producing Flexible Marginal Effect Estimates
  ☆39Updated 3 weeks ago
• aaronrudkin / autumn
  autumn: Fast, Modern, and Tidy-Friendly Iterative Raking in R.
  ☆45Updated 2 years ago
• jepusto / clubSandwich
  Cluster-robust (sandwich) variance estimators with small-sample corrections
  ☆50Updated 2 months ago
• cdriveraus / ctsem
  Hierarchical continuous time state space modelling
  ☆44Updated 2 weeks ago
• johnson-shuffle / mixtape-code
  Code for Causal Inference: The Mixtape by Scott Cunningham
  ☆27Updated 7 years ago
• acoppock / ri2
  Randomization Inference for Randomized Experiments
  ☆12Updated 3 months ago
• andrewheiss / heiss-causal-inference
  Chapter on causal inference for *R for Political Data Science: A Practical Guide*
  ☆42Updated 4 years ago
• jhelvy / logitr
  Fast estimation of multinomial (MNL) and mixed logit (MXL) models in R with "Preference" space or "Willingness-to-pay" (WTP) space utilit…
  ☆63Updated last month
• svmiller / post8000
  POST 8000 (Foundations of Social Science Research for Public Policy) is a class I teach at Clemson University
  ☆10Updated 4 years ago
• JosepER / Book_How_to_weight_a_survey
  This is an introductory guide to survey weighting. It provides a step-by-step walkthrough of the main procedures and explains the statist…
  ☆40Updated 7 years ago
• RobertMyles / IRT
  IRT ideal point models in R using Stan
  ☆24Updated 6 years ago
• julianhinz / R_glmhdfe
  Fast Estimation of GLMs with High-Dimensional Fixed Effects
  ☆29Updated 3 years ago
• ccolonescu / PoEdata
  R data sets for "Principles of Econometrics" by Hill, Griffiths, and Lim, 4e, Wiley
  ☆43Updated 9 years ago