Alternatives and similar repositories for causal

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

• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆36Updated 3 months ago
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆33Updated last week
• AlxndrMlk / huber-causal-analysis
  Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis
  ☆11Updated last year
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆26Updated last year
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆140Updated 8 months ago
• swager / optrdd
  Optimized regression discontinuity designs
  ☆29Updated 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
• FMenchetti / CausalMBSTS
  ☆16Updated 3 years ago
• kwuthrich / scinference
  Inference for synthetic controls
  ☆39Updated 4 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 7 months ago
• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆29Updated 3 years 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
• mattblackwell / causalsens
  A sensitivity analysis package for causal effects
  ☆12Updated last year
• lihualei71 / cfcausal
  R package cfcausal
  ☆32Updated 2 years ago
• justingrimmer / pol450c_19
  ☆9Updated 6 years ago
• jeremylhour / hdmetrics
  Machine Learning for Econometrics -- ENSAE Paris
  ☆25Updated 5 years ago
• pdwaggoner / dimension-reduction-CUP
  Replication files for my book "Modern Dimension Reduction"
  ☆17Updated 3 years ago
• chabefer / STCI
  Statistical Tools for Causal Inference
  ☆40Updated 3 months ago
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆41Updated 4 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆83Updated last year
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆67Updated 2 months ago
• joonho112 / Bayesian-causal-inference
  Tutorials on Stan for Bayesian causal inference
  ☆19Updated last month
• xuyiqing / hbal
  Hierarchically Regularized Entropy Balancing
  ☆11Updated 3 months ago
• Mixtape-Sessions / Difference-in-Differences
  Difference-in-Differences
  ☆41Updated 3 years ago
• PovertyAction / bcstats
  Stata program for analyzing back check data
  ☆12Updated 5 years ago
• causalinfpython / advanced-did
  ☆18Updated 3 years ago
• madina-k / DSE2021_tutorials
  ☆20Updated 4 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 4 years ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years 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 5 months ago