Alternatives and similar repositories for causalTree:

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

• gsbDBI / ExperimentData
  ☆234Updated 2 years ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆107Updated 3 years ago
• synth-inference / synthdid
  Synthetic difference in differences
  ☆279Updated last year
• grf-labs / grf
  Generalized Random Forests
  ☆996Updated 3 months ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆62Updated last year
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆150Updated last month
• swager / causalForest
  DEPRECATED. See new generalized random forest package for up-to-date implementation.
  ☆52Updated 7 years ago
• demirermert / MLInference
  ☆99Updated 4 years ago
• scunning1975 / mixtape
  Data and Program files for Causal Inference: The Mixtape
  ☆417Updated last week
• laurencium / Causalinference
  Causal Inference in Python
  ☆564Updated 4 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆78Updated 9 months ago
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆180Updated last year
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆156Updated 3 years ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆80Updated 11 months ago
• xuyiqing / gsynth
  Generalized Synthetic Control Method
  ☆137Updated last month
• kjung / scikit-learn
  A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.
  ☆22Updated 8 years ago
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆69Updated 4 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…
  ☆167Updated 3 weeks ago
• bcallaway11 / did
  Difference in Differences with Multiple Periods, website: https://bcallaway11.github.io/did
  ☆327Updated 4 months ago
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆96Updated 3 years ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆346Updated last year
• NickCH-K / causalbook
  Replication code and downloadable example data sets for The Effect
  ☆195Updated 3 years ago
• ehkennedy / npcausal
  ☆93Updated last year
• JingyuHe / XBART
  ☆91Updated 3 months ago
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆246Updated 4 months ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆136Updated 4 months ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆572Updated 5 years ago
• klarsen1 / MarketMatching
  ☆132Updated last year
• bernardodionisi / differences
  difference-in-differences in Python
  ☆100Updated last year
• insongkim / PanelMatch
  ☆122Updated last week