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
  ☆67Updated 5 years ago
• ehkennedy / npcausal
  ☆95Updated last year
• vincentarelbundock / rethinking2
  ☆81Updated 2 years ago
• carloscinelli / sensemakr
  Suite of sensitivity analysis tools for OLS
  ☆95Updated 11 months ago
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆82Updated 2 years ago
• behrman / ros
  Regression and Other Stories - Tidyverse Examples
  ☆105Updated 4 years ago
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆111Updated last year
• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆90Updated 4 months 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…
  ☆181Updated 4 months ago
• JuanLopezMartin / MRPCaseStudy
  An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.
  ☆40Updated 3 years ago
• bayesianops / stan-survival-model-workshop
  Building a Survival Model in Stan.
  ☆57Updated 2 years ago
• ASKurz / Working-through-Regression-and-other-stories
  Working through "Regression and other stories," one chapter at a time
  ☆56Updated 2 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• rgiordan / zaminfluence
  Tools in R for computing and using Z-estimator approximate influence functions.
  ☆100Updated last year
• ngreifer / cobalt
  Covariate Balance Tables and Plots - An R package for assessing covariate balance
  ☆79Updated 2 months ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆70Updated last year
• ngreifer / WeightIt
  WeightIt: an R package for propensity score weighting
  ☆117Updated last month
• NickCH-K / causalbook
  Replication code and downloadable example data sets for The Effect
  ☆202Updated last month
• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆152Updated 6 months ago
• spinkney / helpful_stan_functions
  ☆78Updated 2 weeks ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆117Updated 4 years ago
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆169Updated 3 years ago
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆14Updated last month
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆149Updated 11 months ago
• r-causal / causal-inference-in-R
  Causal Inference in R: A book!
  ☆230Updated last week
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆84Updated 2 months ago
• ssp3nc3r / rethinking
  Examples from McElreath's Statistical Rethinking, First edition coded in Stan.
  ☆50Updated 6 years ago
• giabaio / survHE
  Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in…
  ☆46Updated 3 months ago
• r-causal / causal_inference_r_workshop
  Causal Inference in R Workshop
  ☆201Updated last month
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆41Updated 4 years ago