Alternatives and similar repositories for policytree:

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

• ehkennedy / npcausal
  ☆93Updated last year
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆107Updated 3 years ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆138Updated 4 months ago
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 3 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆59Updated 4 years ago
• grf-labs / sufrep
  Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1
  ☆14Updated 4 years ago
• gsbDBI / ds-wgan
  Design of Simulations using WGAN
  ☆49Updated 2 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• swager / causalForest
  DEPRECATED. See new generalized random forest package for up-to-date implementation.
  ☆52Updated 7 years ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆100Updated last year
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆35Updated last year
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆69Updated this week
• mwelz / GenericML
  R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).
  ☆65Updated last month
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆40Updated 4 years ago
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆24Updated last year
• demirermert / MLInference
  ☆99Updated 4 years ago
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆150Updated last month
• pedrohcgs / DRDID
  Doubly Robust Difference-in-Differences Estimators
  ☆92Updated 5 months ago
• xuyiqing / gsynth
  Generalized Synthetic Control Method
  ☆137Updated this week
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆32Updated last month
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated 8 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…
  ☆33Updated last month
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆26Updated last year
• MCKnaus / CATEs
  Machine Learning Estimation of Heterogeneous Causal Effects
  ☆24Updated 3 years ago
• victor5as / RieszLearning
  Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…
  ☆14Updated 2 years ago
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆97Updated 3 years ago
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆26Updated 3 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆79Updated 6 months ago
• jeremylhour / pensynth
  A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)
  ☆35Updated 3 weeks ago
• wlattner / hete
  Heterogeneous Treatment Effects
  ☆16Updated 2 years ago