GitHub topics: causal-inference
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
Language: Python - Size: 111 MB - Last synced at: about 7 hours ago - Pushed at: 1 day ago - Stars: 5,496 - Forks: 821
al8xi8/EPID708_UMich2025
Coursework, R code, and notes for EPID 708: Machine Learning for Epidemiologic Analysis in the Era of Big Data (Summer 2025, University of Michigan). Topics include cutting-edge applications of machine learning in epidemiology, with a focus on causal inference and prediction through Targeted Learning.
Language: R - Size: 25.9 MB - Last synced at: about 3 hours ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0
mikkelpm/nonlinear_dynamic_causal
Causal weights for macroeconomic shocks
Language: Stata - Size: 2.39 MB - Last synced at: about 4 hours ago - Pushed at: 1 day ago - Stars: 5 - Forks: 0
estopinj/dam
A framework to help you choose methods suited to detection & attribution tasks
Language: TeX - Size: 492 KB - Last synced at: about 18 hours ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0
santikka/dosearch
dosearch: R Package for Identifying General Causal Queries
Language: R - Size: 2.64 MB - Last synced at: about 21 hours ago - Pushed at: 1 day ago - Stars: 8 - Forks: 0
JuliaDynamics/Associations.jl
Algorithms for quantifying associations, independence testing and causal inference from data.
Language: Julia - Size: 54.7 MB - Last synced at: about 22 hours ago - Pushed at: 3 months ago - Stars: 166 - Forks: 15
jmaasch/compositional_causal_reasoning
[ICML '25] Automatic task generation for compositional causal reasoning (CCR) evaluation in language models.
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pymc-labs/CausalPy
A Python package for causal inference in quasi-experimental settings
Language: Python - Size: 225 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1,017 - Forks: 77
kchaz/CausalCourseNotes
Course notes on causal inference
Language: R - Size: 20.2 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 17 - Forks: 0
banku50/inference-gateway
An open-source, high-performance gateway unifying multiple LLM providers, from local solutions like Ollama to major cloud providers such as OpenAI, Groq, Cohere, Anthropic, Cloudflare and DeepSeek.
Language: Go - Size: 144 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 1
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Language: Jupyter Notebook - Size: 47.3 MB - Last synced at: 3 days ago - Pushed at: 7 months ago - Stars: 3,002 - Forks: 547
AashishPatil2001/coffee_causality
Data-driven analysis of coffee shop sales using correlation, regression, and causal inference. A Jupyter Book project exploring foot traffic, weather patterns, and business analytics.
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1587causalai/causal-sklearn
Scikit-learn Compatible Causal Machine Learning Library - Based on CausalEngine™
Language: Python - Size: 6.41 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Language: Jupyter Notebook - Size: 45.7 MB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 4,190 - Forks: 762
stscl/tEDM
Temporal Empirical Dynamic Modeling
Language: C++ - Size: 6.22 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 3 - Forks: 1
nicomorga/ml-notebooks
📊 Building ML projects using Python, Scikit-learn & more.
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ehsanx/hdPSv25
hdPS workshop materials
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OscarEngelbrektson/SyntheticControlMethods
A Python package for causal inference using Synthetic Controls
Language: Python - Size: 69.8 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 185 - Forks: 54
cjerzak/causalimages-software
causalimages: An R package for performing causal inference with image and image sequence data
Language: R - Size: 468 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 21 - Forks: 3
jordandeklerk/pyDiD
Python package implementing a variety of modern DiD and doubly robust DiD estimators with diagnostic tools and sensitivity tests.
Language: Python - Size: 6.43 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
pgmpy/pgmpy
Python Library for Causal and Probabilistic Modeling using Bayesian Networks
Language: Python - Size: 13.4 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2,995 - Forks: 860
jeremylhour/CIC-asymptotics
Codes for Change-in-change Asymptotics project
Language: Python - Size: 278 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 1
bernardodionisi/differences
difference-in-differences in Python
Language: Python - Size: 3.36 MB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 102 - Forks: 25
matteocourthoud/awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
Size: 22.8 MB - Last synced at: 3 days ago - Pushed at: 3 months ago - Stars: 1,023 - Forks: 171
antrgngn/capstone
A fashion dataset for the world of luxury fashion scholarship and research
Language: Python - Size: 926 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
rdpackages/rdrobust
Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
Language: Stata - Size: 10.9 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 83 - Forks: 39
dndn15/Is-Uber-as-Substitute-or-Complement-for-Public-Transit-A-Machine-Learning-Approach
Causal analysis of Uber's impact on public transit ridership using double machine learning. Found 4.28% increase in ridership, suggesting complementary relationship. Advanced econometric methods with 76K+ observations.
Language: Jupyter Notebook - Size: 2.5 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Language: Python - Size: 699 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 7,580 - Forks: 975
vdblm/CausalPFN
CausalPFN: Amortized Causal Effect Estimation via In-Context Learning
Language: Jupyter Notebook - Size: 44.2 MB - Last synced at: 8 days ago - Pushed at: about 1 month ago - Stars: 35 - Forks: 1
Blood-Glucose-Control/causal_modeling
Causal modelling with FitBit and Gluroo data for blood-glucose time-series evolution
Language: Jupyter Notebook - Size: 33.6 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 6 - Forks: 3
tangxyw/RecSysPapers
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Language: Python - Size: 1.59 GB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1,835 - Forks: 246
SUwonglab/CausalEGM
A General Causal Inference Framework by Encoding Generative Modeling
Language: Python - Size: 1.86 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 73 - Forks: 11
mwien/CIfly
Declarative framework for designing efficient causal inference algorithms based on graph reachability.
Language: Astro - Size: 1.98 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 3 - Forks: 1
DoubleML/doubleml-for-py
DoubleML - Double Machine Learning in Python
Language: Python - Size: 10.2 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 609 - Forks: 95
RickardKarl/causal-falsify
causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.
Language: Python - Size: 37.1 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 3 - Forks: 0
nhejazi/medoutcon
:package: R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
Language: R - Size: 824 KB - Last synced at: 2 days ago - Pushed at: 9 days ago - Stars: 13 - Forks: 8
stscl/spEDM
Spatial Empirical Dynamic Modeling
Language: C++ - Size: 10.6 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 18 - Forks: 1
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
Language: Python - Size: 22.8 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 2,344 - Forks: 267
myhakureimu/PreRec
Repo for Pre-trained Recommender Systems: A Causal Debias Perspective in The 17th ACM International Conference on Web Search and Data Mining (WSDM)
Language: Python - Size: 167 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 8 - Forks: 2
Zamir503/Random
<p align="center"> <img src="https://github.com/Chill-Astro/Random/blob/main/Random.ico" width="128px" height="128px" alt="Random Logo"></p><h1 align="center">Random v1.0</h1>Random is a lightweight console game made in C#. You have five attempts to guess the number, with hints to guide you along the way! 🎮✨## Key Features:- Extremely lig
Language: Inno Setup - Size: 58.6 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0
T0ngChen/medRCT
📦R package medRCT
Language: R - Size: 3.26 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 4 - Forks: 2
grf-labs/policytree
Policy learning via doubly robust empirical welfare maximization over trees
Language: R - Size: 1.52 MB - Last synced at: 2 days ago - Pushed at: about 1 year ago - Stars: 83 - Forks: 15
sb-ai-lab/HypEx
Fast and customizable framework for automatic and quick Causal Inference in Python
Language: Python - Size: 62.8 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 113 - Forks: 7
JianqiaoMao/mechanism-learn
Mechanism-learn is a simple method to deconfound observational data such that any appropriate machine learning model is forced to learn predictive relationships between effects and their causes, despite the potential presence of multiple unknown and unmeasured confounding. The library is compatible with most existing ML deployments.
Language: Jupyter Notebook - Size: 255 MB - Last synced at: 8 days ago - Pushed at: 2 months ago - Stars: 4 - Forks: 1
Kanaries/Rath
Next generation of automated data exploratory analysis and visualization platform.
Language: TypeScript - Size: 82.3 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 4,448 - Forks: 360
mlondschien/ivmodels
Instrumental variable regression in Python
Language: Python - Size: 584 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 7 - Forks: 1
bowers-illinois-edu/bowershansen-CI-course
Source files for Jake and Ben and Tom's causal inference course materials
Language: TeX - Size: 75.6 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 6 - Forks: 6
station-10/awesome-marketing-machine-learning
A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more
Size: 63.5 KB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 112 - Forks: 11
IbrahimJahwari/Sweden_Nuclear
Empirical analysis of Sweden’s 2023 nuclear policy reform using a regression discontinuity design.
Language: R - Size: 2.92 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0
py-why/causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
Language: Python - Size: 27 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 1,393 - Forks: 217
lianxhcn/open2025
2025 - 连享会系列公开课课程主页
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rdpackages/rdpackages.github.io
Regression Discontinuity Design Software Packages
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mschauer/CausalInference.jl
Causal inference, graphical models and structure learning in Julia
Language: Julia - Size: 22.9 MB - Last synced at: 17 days ago - Pushed at: 4 months ago - Stars: 203 - Forks: 25
AStrittmatter/CDA
Computational Data Analytics for Economists
Language: Jupyter Notebook - Size: 51.8 MB - Last synced at: 12 days ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 11
jennalandy/causalLFO
This R package provides all algorithms discussed in the paper “Causal Inference for Latent Outcomes Learned with Factor Models”.
Language: R - Size: 666 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0
gabrielcaser/rdd_when_science_strikes_back
We manage employer-employee administrative data and elections data to estimate the causal impact of electing a STEM candidate on epidemiological outcomes
Language: Jupyter Notebook - Size: 92.9 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0
DataCanvasIO/YLearn
YLearn, a pun of "learn why", is a python package for causal inference
Language: Python - Size: 12.2 MB - Last synced at: 10 days ago - Pushed at: 19 days ago - Stars: 424 - Forks: 75
RenatoVassallo/CausalPanel
Causal inference tools for panel data
Language: Jupyter Notebook - Size: 462 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
Size: 208 KB - Last synced at: 16 days ago - Pushed at: 6 months ago - Stars: 3,155 - Forks: 468
r-causal/ggdag
:arrow_lower_left: :arrow_lower_right: An R package for working with causal directed acyclic graphs (DAGs)
Language: R - Size: 185 MB - Last synced at: 11 days ago - Pushed at: 3 months ago - Stars: 450 - Forks: 31
FenTechSolutions/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Language: Python - Size: 13.9 MB - Last synced at: 19 days ago - Pushed at: over 1 year ago - Stars: 1,181 - Forks: 202
agrumery/aGrUM
This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).
Language: Jupyter Notebook - Size: 335 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 42 - Forks: 1
McAelanRemigio/ATUS
ATUS Causal Inference study is a project investigating the effect of an informal policy change (COVID-19) on workers abilities to work remotely vs not remotely, and if it affected their leisure time.
Language: R - Size: 15.6 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0
zalando/expan
Open-source Python library for statistical analysis of randomised control trials (A/B tests)
Language: Python - Size: 1.24 MB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 341 - Forks: 49
dmolitor/pyssed
The Mixture Adaptive Design (MAD): An experimental design for anytime-valid causal inference on Multi-Armed Bandits.
Language: Python - Size: 12.6 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0
neurodata/treeple
Scikit-learn compatible decision trees beyond those offered in scikit-learn
Language: Jupyter Notebook - Size: 183 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 82 - Forks: 20
kkholst/targeted
Targeted inference (R package) https://kkholst.github.io/targeted/
Language: R - Size: 30.9 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 12 - Forks: 0
owkin/fedeca
Code repository associated with the FedECA article
Language: Python - Size: 36.3 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 7 - Forks: 2
SUwonglab/CausalBGM
An AI-powered Bayesian generative modeling approach for causal inference in observational studies
Language: Python - Size: 2.46 MB - Last synced at: 18 days ago - Pushed at: 21 days ago - Stars: 6 - Forks: 4
almost-matching-exactly/DAME-FLAME-Python-Package
A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
Language: Python - Size: 4.91 MB - Last synced at: 11 days ago - Pushed at: about 1 year ago - Stars: 59 - Forks: 13
cjerzak/strategize-software
strategize: An R package for performing optimal stochastic intervention analysis
Language: HTML - Size: 14.6 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 2 - Forks: 0
gav888/BriDGE
R package BriDGE
Language: R - Size: 1.38 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0
grf-labs/grf
Generalized Random Forests
Language: C++ - Size: 62.7 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 1,032 - Forks: 261
Sanofi-Public/CImpact
Causal inference library for timeseries analysis
Language: Python - Size: 449 KB - Last synced at: 14 days ago - Pushed at: about 2 months ago - Stars: 14 - Forks: 1
plasma-umass/coz
Coz: Causal Profiling
Language: C - Size: 8.99 MB - Last synced at: 21 days ago - Pushed at: 6 months ago - Stars: 4,266 - Forks: 166
larslorch/avici
Amortized Inference for Causal Structure Learning, NeurIPS 2022
Language: Python - Size: 639 KB - Last synced at: 8 days ago - Pushed at: 5 months ago - Stars: 65 - Forks: 11
RobinDenz1/simDAG
An R-Package to Simulate Simple and Complex (longitudinal) Data from a DAG and Associated Node Information
Language: R - Size: 13.2 MB - Last synced at: 22 days ago - Pushed at: 23 days ago - Stars: 11 - Forks: 0
adrianjav/causal-flows
CausalFlows: A library for Causal Normalizing Flows in Pytorch
Language: Python - Size: 2.52 MB - Last synced at: 15 days ago - Pushed at: 3 months ago - Stars: 23 - Forks: 1
ggiannarakis/causal-jobs
causal-jobs is a project dedicated to revealing the status of causal inference in the European job market.
Language: HTML - Size: 57.6 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0
HCPLab-SYSU/CausalVLR Fork of anonymity2023/Causal-VLReasoning
CausalVLR: A Toolbox and Benchmark for Vision-Language Causal Reasoning (多模态因果推理开源框架)
Language: Python - Size: 106 MB - Last synced at: 24 days ago - Pushed at: 4 months ago - Stars: 677 - Forks: 5
harveybc/predictor
Predictor that uses a configurable plugin-based predictive supervised learning model, to make forecasts for a configurable time horizon in a timeseries, using heterogeneus multivariate timeseries data as input, the input data needs to be aligned with the timeseries to be used as training signals. Includes 4 built-in deep-learning predictive models.
Language: Python - Size: 1.02 GB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 5 - Forks: 2
jacob-edenhofer/Causal-Inference-Oxford2021
This repository collects my coursework for a class on causal inference I took in Hilary term 2021.
Language: TeX - Size: 10.2 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0
y0-causal-inference/y0
❓y0 (pronounced "why not?") is for causal inference in Python
Language: Python - Size: 6.43 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 51 - Forks: 10
amaiya/causalnlp
CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
Language: Jupyter Notebook - Size: 15.6 MB - Last synced at: 18 days ago - Pushed at: 5 months ago - Stars: 147 - Forks: 11
BiomedSciAI/causallib
A Python package for modular causal inference analysis and model evaluations
Language: Python - Size: 13.2 MB - Last synced at: about 9 hours ago - Pushed at: 3 months ago - Stars: 781 - Forks: 104
annaguo-bios/fd-methods
Implementing experiments in paper titled "Targeted Machine Learning for Average Causal Effect Estimation Using the Front-Door Functional"
Language: R - Size: 109 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0
hase3b/DiaCausal
DiaCausal: AI-driven causal analysis of diabetes risk factors.
Language: Python - Size: 25.9 MB - Last synced at: 10 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0
hknd23/DeepLearningCausal
functions to estimate the Conditional Average Treatment Effects (CATE) and Population Average Treatment Effects on the Treated (PATT)
Language: R - Size: 138 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 2 - Forks: 0
johnhany/awesome-list
A list of useful stuff in Machine Learning, Computer Graphics, Software Development, ...
Size: 1.13 MB - Last synced at: about 9 hours ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 5
jiachenli94/Awesome-Decision-Making-Reinforcement-Learning
A selection of state-of-the-art research materials on decision making and motion planning.
Size: 30.3 KB - Last synced at: 28 days ago - Pushed at: almost 5 years ago - Stars: 225 - Forks: 45
annaguo-bios/fdcausal
An R Package for Average Causal Effect Estimation via the Front-Door Functional
Language: R - Size: 490 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0
Wenzhe-Huang/python-causality-handbook-zh
中文翻译版 | Causal Inference for the Brave and True：使用 Python 学习因果推断的轻松指南
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bytedance/CausalMatch
CausalMatch is a Bytedance research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about automation in decision-making process.
Language: Jupyter Notebook - Size: 478 KB - Last synced at: 17 days ago - Pushed at: 4 months ago - Stars: 82 - Forks: 6
py-why/dodiscover
[Experimental] Global causal discovery algorithms
Language: Python - Size: 522 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 103 - Forks: 17
IbrahimJahwari/Scholarship_Causal_Evaluation
Causal evaluation of scholarship program on Omani students' outcomes using Matching methods.
Language: R - Size: 329 KB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0
CausalAIBook/MetricsMLNotebooks
Notebooks for Applied Causal Inference Powered by ML and AI
Language: Jupyter Notebook - Size: 34.4 MB - Last synced at: 28 days ago - Pushed at: 4 months ago - Stars: 121 - Forks: 52
rickmer-schulte/Pretrained-Causal-Adjust
Code for the ICML 2025 paper: "Adjustment for Confounding using Pre-Trained Representations"
Language: Jupyter Notebook - Size: 699 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
TARGENE/TMLE.jl
A Julia implementation of the Targeted Minimum Loss-based Estimation
Language: Julia - Size: 10.2 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 20 - Forks: 4
ngreifer/WeightIt
WeightIt: an R package for propensity score weighting
Language: R - Size: 14.1 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 114 - Forks: 19
cdt15/lingam
Python package for causal discovery based on LiNGAM.
Language: Python - Size: 6.82 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 424 - Forks: 65
