Alternatives and similar repositories for causal-inference-visual-guides

Users that are interested in causal-inference-visual-guides are comparing it to the libraries listed below

• rmcelreath / causal_salad_2021
  One day course on causal inference, MPI-EVA 9 September 2021
  ☆249Updated 3 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 last month
• 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
• rmcelreath / stat_rethinking_2025
  ☆170Updated 9 months ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆120Updated 4 years ago
• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆156Updated 8 months ago
• pzivich / zEpid
  Epidemiology analysis package
  ☆150Updated 2 years ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆150Updated last year
• eleanormurray / causalgraphs_latex
  Drawing graphical models for causal inference using LaTeX
  ☆119Updated 2 years ago
• avehtari / ROS-Examples
  Regression and other stories R examples
  ☆348Updated 7 months ago
• NorskRegnesentral / shapr
  Explaining the output of machine learning models with more accurately estimated Shapley values
  ☆172Updated last week
• pbiecek / ema
  Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
  ☆196Updated last year
• mikenguyen13 / data_analysis
  Streamline a data analysis process
  ☆86Updated last month
• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆91Updated last month
• r-causal / causal-inference-in-R
  Causal Inference in R: A book!
  ☆234Updated last month
• vincentarelbundock / marginaleffects
  R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 clas…
  ☆574Updated 2 weeks ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆84Updated 5 months ago
• ModelOriented / modelStudio
  📍 Interactive Studio for Explanatory Model Analysis
  ☆332Updated 2 years ago
• ngreifer / WeightIt
  WeightIt: an R package for propensity score weighting
  ☆118Updated last month
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆68Updated 5 years ago
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆111Updated 2 years ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆54Updated 7 months ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆52Updated last year
• NickCH-K / causalbook
  Replication code and downloadable example data sets for The Effect
  ☆201Updated 3 months ago
• r-causal / ggdag
  An R package for working with causal directed acyclic graphs (DAGs)
  ☆453Updated last month
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆43Updated last year
• jtextor / dagitty
  Graphical analysis of structural causal models / graphical causal models.
  ☆323Updated last year
• chjackson / msm
  The msm R package for continuous-time multi-state modelling of panel data
  ☆65Updated 5 months ago
• ehkennedy / npcausal
  ☆96Updated last year
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year