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 last year
• cjerzak / causalimages-software
  causalimages: An R package for performing causal inference with image and image sequence data
  ☆25Updated 2 weeks ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆75Updated this week
• migariane / TutorialComputationalCausalInferenceEstimators
  Tutorial_Computational_Causal_Inference_Estimators
  ☆37Updated 3 years ago
• fbargaglistoffi / BCF-IV
  Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…
  ☆17Updated last year
• AnaRitaNogueira / Methods-and-Tools-for-Causal-Discovery-and-Causal-Inference
  This repository is used as a support for the paper "" (to be named)
  ☆25Updated 3 years ago
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆102Updated 4 years ago
• d2cml-ai / CausalAI-Course
  Lectures and Tutorials for the Causal AI course
  ☆46Updated last week
• victor5as / RieszLearning
  Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…
  ☆14Updated 3 years 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 this week
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆36Updated 5 months 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
• mwelz / GenericML
  R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).
  ☆70Updated 7 months ago
• insongkim / PanelMatch
  ☆129Updated 4 months ago
• ArthurSpirling / BeingAGradStudent
  Comments on the Nature of Being a Graduate Student
  ☆43Updated 3 years ago
• MisraLab / cml.github.io
  ☆31Updated last year
• NickCH-K / CausalitySlides
  Slides for the Seattle University Causal Inference Class
  ☆142Updated 4 years ago
• apoorvalal / ding_causalInference_python
  python implementation of Peng Ding's "First Course in Causal Inference"
  ☆172Updated last year
• xuyiqing / tjbal
  Trajectory Balancing
  ☆12Updated 6 months ago
• pzivich / publications-code
  Publicly available code from my publications 📝
  ☆16Updated last month
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆129Updated 6 months ago
• xuyiqing / gsynth
  Generalized Synthetic Control Method
  ☆143Updated 5 months ago
• KColangelo / Double-ML-Continuous-Treatment
  Code for Colangelo and Lee (2025)
  ☆15Updated 7 months ago
• lihualei71 / cfcausalPaper
  Paper Repository
  ☆12Updated 3 years ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated last year
• d2cml-ai / 14.388_py
  This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI …
  ☆16Updated 2 years ago
• rdpackages / rdrobust
  Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
  ☆86Updated 2 months ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆84Updated 2 months ago
• EddieYang211 / ebal-py
  Python implementation of Entropy Balancing for binary and continuous treatment
  ☆20Updated 3 years ago