Alternatives and similar repositories for causalgraphs_latex

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

• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆66Updated 4 years ago
• ehkennedy / npcausal
  ☆95Updated last year
• vincentarelbundock / rethinking2
  ☆81Updated last year
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆109Updated last year
• 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 last month
• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆90Updated last month
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆80Updated 2 years ago
• behrman / ros
  Regression and Other Stories - Tidyverse Examples
  ☆102Updated 3 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆80Updated 10 months ago
• rgiordan / zaminfluence
  Tools in R for computing and using Z-estimator approximate influence functions.
  ☆98Updated 10 months ago
• carloscinelli / sensemakr
  Suite of sensitivity analysis tools for OLS
  ☆94Updated 8 months ago
• ngreifer / cobalt
  Covariate Balance Tables and Plots - An R package for assessing covariate balance
  ☆76Updated last month
• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆148Updated 3 months ago
• ngreifer / WeightIt
  WeightIt: an R package for propensity score weighting
  ☆114Updated 3 months ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆69Updated 11 months ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 8 months ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆112Updated 4 years ago
• bayesianops / stan-survival-model-workshop
  Building a Survival Model in Stan.
  ☆57Updated last year
• ASKurz / Working-through-Regression-and-other-stories
  Working through "Regression and other stories," one chapter at a time
  ☆56Updated 2 years ago
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆13Updated last week
• JuanLopezMartin / MRPCaseStudy
  An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.
  ☆38Updated 3 years ago
• spinkney / helpful_stan_functions
  ☆76Updated last year
• NickCH-K / introcausality
  Class materials for "Economics, Causality, and Analytics"
  ☆121Updated 5 years ago
• migariane / TutorialCausalInferenceEstimators
  Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
  ☆39Updated 4 years ago
• NickCH-K / causalbook
  Replication code and downloadable example data sets for The Effect
  ☆197Updated last month
• forestry-labs / causalToolbox
  ☆44Updated 2 years ago
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 7 years ago
• BS1125 / CMAverse
  A suite of functions for reproducible causal mediation analyses
  ☆60Updated 4 months ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆140Updated 8 months ago
• m-clark / models-by-example
  By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
  ☆69Updated 4 years ago