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
  ☆246Updated 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…
  ☆175Updated 3 weeks ago
• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆147Updated 2 months ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆112Updated 4 years ago
• r-causal / causal-inference-in-R
  Causal Inference in R: A book!
  ☆222Updated last week
• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆90Updated last week
• eleanormurray / causalgraphs_latex
  Drawing graphical models for causal inference using LaTeX
  ☆117Updated 2 years ago
• avehtari / ROS-Examples
  Regression and other stories R examples
  ☆339Updated last month
• ModelOriented / modelStudio
  📍 Interactive Studio for Explanatory Model Analysis
  ☆332Updated last year
• vincentarelbundock / marginaleffects
  R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 clas…
  ☆539Updated this week
• NorskRegnesentral / shapr
  Explaining the output of machine learning models with more accurately estimated Shapley values
  ☆160Updated this week
• napsternxg / awesome-causality
  Resources related to causality
  ☆265Updated last year
• r-causal / ggdag
  An R package for working with causal directed acyclic graphs (DAGs)
  ☆449Updated 2 months ago
• ehkennedy / npcausal
  ☆95Updated last year
• MatsuuraKentaro / Bayesian_Statistical_Modeling_with_Stan_R_and_Python
  Kentaro Matsuura (2022). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
  ☆136Updated 4 months ago
• NickCH-K / causalbook
  Replication code and downloadable example data sets for The Effect
  ☆197Updated last month
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆80Updated 9 months ago
• mikenguyen13 / data_analysis
  Streamline a data analysis process
  ☆73Updated 2 weeks ago
• pzivich / zEpid
  Epidemiology analysis package
  ☆144Updated 2 years ago
• kosukeimai / MatchIt
  R package MatchIt
  ☆227Updated 3 weeks ago
• ngreifer / WeightIt
  WeightIt: an R package for propensity score weighting
  ☆114Updated 2 months ago
• kathoffman / steroids-trial-emulation
  Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially D…
  ☆49Updated 2 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆63Updated 4 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 8 months ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆140Updated 7 months ago
• rje42 / causl
  Methods for Specifying, Simulating from and Fitting Causal Models
  ☆17Updated this week
• bayesianops / stan-survival-model-workshop
  Building a Survival Model in Stan.
  ☆57Updated last year
• r-causal / causal_inference_r_workshop
  Causal Inference in R Workshop
  ☆199Updated 9 months ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated 10 months ago
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆66Updated last week