Alternatives and similar repositories for gfoRmula:

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

• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆90Updated this week
• ngreifer / WeightIt
  WeightIt: an R package for propensity score weighting
  ☆111Updated last week
• CausalInference / GFORMULA-SAS
  The GFORMULA macro implements the parametric g-formula in SAS. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…
  ☆34Updated 5 months ago
• ngreifer / cobalt
  Covariate Balance Tables and Plots - An R package for assessing covariate balance
  ☆75Updated 10 months ago
• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆138Updated 3 months ago
• rje42 / causl
  Methods for Specifying, Simulating from and Fitting Causal Models
  ☆13Updated 2 weeks ago
• r-causal / causal_inference_r_workshop
  Causal Inference in R Workshop
  ☆194Updated 5 months ago
• kosukeimai / MatchIt
  R package MatchIt
  ☆219Updated last month
• n8thangreen / health_economics_R_packages
  List of health economics R packages.
  ☆75Updated 2 years ago
• NickCH-K / causalbook
  Replication code and downloadable example data sets for The Effect
  ☆195Updated 3 years ago
• r-causal / causal-inference-in-R
  Causal Inference in R: A book!
  ☆210Updated this week
• DARTH-git / Microsimulation-tutorial
  Code of the Microsimulation tutorial
  ☆58Updated 5 years ago
• NickCH-K / causalgraphs
  R code for causal graph animations
  ☆302Updated last year
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆79Updated 5 months ago
• vincentarelbundock / rethinking2
  ☆78Updated last year
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆77Updated last year
• lrberge / fixest
  Fixed-effects estimations
  ☆389Updated 6 months ago
• edunford / tidysynth
  A tidy implementation of the synthetic control method in R
  ☆101Updated last year
• migariane / TutorialCausalInferenceEstimators
  Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
  ☆38Updated 4 years ago
• jacob-long / panelr
  Regression models and utilities for repeated measures and panel data
  ☆101Updated last year
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆63Updated 2 weeks ago
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆150Updated last month
• carloscinelli / sensemakr
  Suite of sensitivity analysis tools for OLS
  ☆91Updated 3 months ago
• migariane / TutorialComputationalCausalInferenceEstimators
  Tutorial_Computational_Causal_Inference_Estimators
  ☆32Updated 3 years ago
• NickCH-K / introcausality
  Class materials for "Economics, Causality, and Analytics"
  ☆121Updated 5 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 4 months ago
• kosukeimai / mediation
  R package mediation
  ☆61Updated last year
• eleanormurray / causalgraphs_latex
  Drawing graphical models for causal inference using LaTeX
  ☆115Updated last year
• DARTH-git / darthpack
  A decision-analytic modeling coding framework
  ☆31Updated 11 months ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆107Updated 3 years ago