Alternatives and similar repositories for National-Causal-Analysis

Users that are interested in National-Causal-Analysis are comparing it to the libraries listed below

• calebleedy / ISU-Causal
  Repository for the ISU Causal Inference Working Group
  ☆12Updated last year
• ainaimi / mlci_shortcourse
  ☆13Updated 2 years ago
• fbargaglistoffi / BCF-IV
  Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…
  ☆18Updated last year
• migariane / TutorialComputationalCausalInferenceEstimators
  Tutorial_Computational_Causal_Inference_Estimators
  ☆38Updated 4 years ago
• EddieYang211 / ebal-py
  Python implementation of Entropy Balancing for binary and continuous treatment
  ☆20Updated 3 weeks ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆81Updated last month
• cjerzak / causalimages-software
  causalimages: An R package for performing causal inference with image and image sequence data
  ☆27Updated last week
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆103Updated 4 years ago
• AnaRitaNogueira / Methods-and-Tools-for-Causal-Discovery-and-Causal-Inference
  This repository is used as a support for the paper "" (to be named)
  ☆27Updated 4 years ago
• ehkennedy / npcausal
  ☆96Updated 2 years ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆152Updated last year
• xuyiqing / tjbal
  Trajectory Balancing
  ☆12Updated 9 months ago
• pzivich / publications-code
  Publicly available code from my publications 📝
  ☆17Updated 2 months ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆44Updated last year
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆38Updated 6 months ago
• ilundberg / teaching
  Teaching materials
  ☆15Updated 4 months ago
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆36Updated 8 months ago
• victor5as / RieszLearning
  Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…
  ☆13Updated 3 years ago
• xuyiqing / gsynth
  Generalized Synthetic Control Method
  ☆145Updated last month
• KColangelo / Double-ML-Continuous-Treatment
  Code for Colangelo and Lee (2025)
  ☆16Updated 11 months ago
• CausalInference / pygformula
  The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…
  ☆30Updated last month
• swager / optrdd
  Optimized regression discontinuity designs
  ☆30Updated 3 years ago
• dballinari / Calibrating-doubly-robust-estimators-with-unbalanced-treatment-assignment
  Code to replicate the simulation study in the paper "Calibrating doubly-robust estimators with unbalanced treatment assignment"
  ☆14Updated last year
• edrubin / EC607S24
  Causal-inference oriented doctoral econometrics course at UO
  ☆13Updated last year
• insongkim / PanelMatch
  ☆130Updated 3 weeks ago
• kwuthrich / scinference
  Inference for synthetic controls
  ☆39Updated 4 years ago
• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆29Updated 3 years ago
• lihualei71 / cfcausalPaper
  Paper Repository
  ☆12Updated 3 years ago
• mwelz / GenericML
  R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).
  ☆76Updated 3 weeks ago
• rgiordan / zaminfluence
  Tools in R for computing and using Z-estimator approximate influence functions.
  ☆102Updated last year