Alternatives and similar repositories for policytree

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

• ehkennedy / npcausal
  ☆95Updated last year
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆113Updated 4 years ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆140Updated 8 months ago
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 4 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 4 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆67Updated 4 years ago
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆36Updated 3 months ago
• grf-labs / sufrep
  Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1
  ☆14Updated 5 years ago
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆26Updated last year
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆41Updated 4 years ago
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆102Updated 3 years ago
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆157Updated 6 months ago
• carloscinelli / dml.sensemakr
  Sensitivity analysis tools for causal ML
  ☆17Updated last week
• mwelz / GenericML
  R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).
  ☆69Updated 6 months ago
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆34Updated last month
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 8 months ago
• kwuthrich / scinference
  Inference for synthetic controls
  ☆39Updated 4 years ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆32Updated 2 years ago
• rgiordan / zaminfluence
  Tools in R for computing and using Z-estimator approximate influence functions.
  ☆98Updated 11 months ago
• VC2015 / DMLonGitHub
  ☆22Updated 7 years ago
• xuyiqing / gsynth
  Generalized Synthetic Control Method
  ☆143Updated 4 months ago
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆25Updated 2 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆81Updated last week
• wlattner / hete
  Heterogeneous Treatment Effects
  ☆16Updated 2 years ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆75Updated last week
• swager / optrdd
  Optimized regression discontinuity designs
  ☆29Updated 2 years ago
• demirermert / MLInference
  ☆100Updated 4 years ago
• pedrohcgs / DRDID
  Doubly Robust Difference-in-Differences Estimators
  ☆93Updated 2 months ago
• QuantLet / Meta_learner-for-Causal-ML
  This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…
  ☆35Updated 6 months ago
• jeremylhour / pensynth
  A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)
  ☆35Updated 5 months ago