Alternatives and similar repositories for BayesianTutorials

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

• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆68Updated 5 years ago
• ehkennedy / npcausal
  ☆96Updated 2 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆84Updated 5 months ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆120Updated 4 years ago
• eleanormurray / causalgraphs_latex
  Drawing graphical models for causal inference using LaTeX
  ☆119Updated 2 years ago
• soerenkuenzel / causalToolbox
  ☆44Updated 4 years ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆69Updated last year
• m-clark / Miscellaneous-R-Code
  Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms.…
  ☆197Updated 5 years ago
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆36Updated 4 years ago
• vincentarelbundock / rethinking2
  ☆81Updated 2 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆27Updated last year
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆82Updated 2 years ago
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆41Updated 5 years ago
• forestry-labs / causalToolbox
  ☆48Updated 2 years ago
• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆91Updated last month
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆97Updated 4 years ago
• MaggieLieu / STAN_tutorials
  ☆31Updated 5 years ago
• CausalInference / gfoRmula
  The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…
  ☆182Updated 2 months ago
• vdorie / dbarts
  Discrete Bayesian Additive Regression Trees Sampler
  ☆61Updated 2 months ago
• jkarreth / Bayes
  Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.
  ☆44Updated 8 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• dave-harrington / survival_workshop
  Survival analysis workshop using R
  ☆53Updated 6 years ago
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆146Updated 8 years ago
• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆156Updated 8 months ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆67Updated 5 years ago
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆63Updated last year
• lihualei71 / cfcausal
  R package cfcausal
  ☆33Updated 3 years ago
• ngreifer / cobalt
  Covariate Balance Tables and Plots - An R package for assessing covariate balance
  ☆80Updated 4 months ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆52Updated last year
• 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