Alternatives and similar repositories for causalForest:

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

• soerenkuenzel / causalToolbox
  ☆42Updated 4 years ago
• ehkennedy / npcausal
  ☆94Updated last year
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 3 years ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆109Updated 4 years ago
• wlattner / hete
  Heterogeneous Treatment Effects
  ☆16Updated 2 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆79Updated 10 months ago
• grf-labs / sufrep
  Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1
  ☆14Updated 5 years ago
• soerenkuenzel / hte
  ☆32Updated 2 years ago
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆109Updated last year
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆40Updated 4 years ago
• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 7 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆61Updated 4 years ago
• saberpowers / causalLearning
  Methods for heterogeneous treatment effect estimation
  ☆24Updated 3 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆79Updated 7 months ago
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆35Updated 2 weeks ago
• xuyiqing / gsynth
  Generalized Synthetic Control Method
  ☆139Updated last month
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆25Updated last year
• demirermert / MLInference
  ☆99Updated 4 years ago
• sejdemyr / ecls
  Processing data from the Early Childhood Longitudinal Study (ECLS)
  ☆32Updated 10 months ago
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆26Updated last year
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆71Updated 4 years ago
• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆29Updated 9 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 5 months ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆69Updated 9 months ago
• gsbDBI / ds-wgan
  Design of Simulations using WGAN
  ☆50Updated 2 years ago
• hammadshaikhha / Causal-Inference-Mastery
  Notes and simulations on graduate level causal inference in statistics with applications to social sciences.
  ☆23Updated 5 years ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆44Updated 11 months ago
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆57Updated 2 years ago