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Projects in Awesome Lists tagged with causal-inference
A curated list of projects in awesome lists tagged with causal-inference .
https://github.com/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.
bayesian-networks causal-inference causal-machine-learning causal-models causality data-science do-calculus graphical-models machine-learning python3 treatment-effects
Last synced: 06 Jan 2025
https://microsoft.github.io/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.
bayesian-networks causal-inference causal-machine-learning causal-models causality data-science do-calculus graphical-models machine-learning python3 treatment-effects
Last synced: 03 Oct 2024
https://github.com/uber/causalml
Uplift modeling and causal inference with machine learning algorithms
causal-inference incubation machine-learning uplift-modeling
Last synced: 06 Jan 2025
https://github.com/kanaries/rath
Next generation of automated data exploratory analysis and visualization platform.
augmented-analytics automated-data-analysis automated-visualization autovis causal-discovery causal-inference causality data-analysis data-exploration data-visualization datamining eda k6s kanaries machine-learning tableau tableau-alternative visualization
Last synced: 07 Jan 2025
https://github.com/plasma-umass/coz
Coz: Causal Profiling
causal-inference optimization performance-analysis performance-engineering profiler
Last synced: 06 Jan 2025
https://github.com/Kanaries/Rath
Next generation of automated data exploratory analysis and visualization platform.
augmented-analytics automated-data-analysis automated-visualization autovis causal-discovery causal-inference causality data-analysis data-exploration data-visualization datamining eda k6s kanaries machine-learning tableau tableau-alternative visualization
Last synced: 04 Nov 2024
https://github.com/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.
causal-inference causality econometrics economics machine-learning treatment-effects
Last synced: 30 Oct 2024
https://github.com/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.
causal-inference causality econometrics economics machine-learning treatment-effects
Last synced: 06 Jan 2025
https://matheusfacure.github.io/python-causality-handbook/
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
causal-inference causality data-science econometrics harmless-econometrics impact-estimation python
Last synced: 05 Nov 2024
https://github.com/matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
causal-inference causality data-science econometrics harmless-econometrics impact-estimation python
Last synced: 07 Jan 2025
https://github.com/pgmpy/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
bayesian-networks causal-discovery causal-identification causal-inference inference python simulations structure-learning
Last synced: 06 Jan 2025
https://github.com/mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
bayesian-inference bayesian-networks causal-inference causal-models causal-networks causalnex data-science machine-learning
Last synced: 09 Jan 2025
https://github.com/quantumblacklabs/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
bayesian-inference bayesian-networks causal-inference causal-models causal-networks causalnex data-science machine-learning
Last synced: 20 Nov 2024
https://github.com/jrfiedler/causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
causal-inference causality data-science python
Last synced: 05 Jan 2025
https://github.com/py-why/causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
causal causal-discovery causal-inference causal-representation-learning causality confounder graph hidden-causal independence-tests python statistics structure tetrad time-series
Last synced: 08 Jan 2025
https://github.com/fentechsolutions/causaldiscoverytoolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
algorithm causal-discovery causal-inference causal-models causality graph graph-structure-recovery inference machine-learning python toolbox
Last synced: 03 Jan 2025
https://github.com/FenTechSolutions/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
algorithm causal-discovery causal-inference causal-models causality graph graph-structure-recovery inference machine-learning python toolbox
Last synced: 30 Oct 2024
https://github.com/grf-labs/grf
Generalized Random Forests
causal-forest causal-inference econometrics machine-learning random-forest statistics
Last synced: 25 Oct 2024
https://github.com/brylevkirill/notes
Learn about Machine Learning and Artificial Intelligence
artificial-intelligence bayesian-inference causal-inference deep-learning information-retrieval knowledge-graph knowledge-representation machine-learning natural-language-processing probabilistic-programming question-answering reasoning recommender-systems reinforcement-learning
Last synced: 30 Oct 2024
https://github.com/pymc-labs/CausalPy
A Python package for causal inference in quasi-experimental settings
causal-inference pymc quasi-experimental quasi-experiments
Last synced: 11 Nov 2024
https://github.com/maks-sh/scikit-uplift
:exclamation: uplift modeling in scikit-learn style in python :snake:
causal-inference causality individual-treatment-effects machine-learning net-lift true-lift uplift uplift-modeling uplift-modelling
Last synced: 13 Nov 2024
https://github.com/biomedsciai/causallib
A Python package for modular causal inference analysis and model evaluations
causal causal-inference causal-models causality data-science machine-learning ml
Last synced: 07 Jan 2025
https://github.com/BiomedSciAI/causallib
A Python package for modular causal inference analysis and model evaluations
causal causal-inference causal-models causality data-science machine-learning ml
Last synced: 30 Oct 2024
https://github.com/jvpoulos/causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
causal-discovery causal-inference causal-learning causal-models counterfactual counterfactual-learning deep-learning estimating-treatment-effects heterogeneous-treatment-effects machine-learning paper-list randomized-controlled-trials representation-learning treatment-effects
Last synced: 01 Nov 2024
https://github.com/WillianFuks/tfcausalimpact
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
causal-inference causalimpact python tensorflow-probability
Last synced: 11 Nov 2024
https://github.com/doubleml/doubleml-for-py
DoubleML - Double Machine Learning in Python
causal-inference data-science double-machine-learning econometrics machine-learning python scikit-learn statistics
Last synced: 09 Jan 2025
https://github.com/fulifeng/Causal_Reading_Group
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
causal-inference causality deep-learning machine-learning recommender-system
Last synced: 01 Nov 2024
https://github.com/DoubleML/doubleml-for-py
DoubleML - Double Machine Learning in Python
causal-inference data-science double-machine-learning econometrics machine-learning python scikit-learn statistics
Last synced: 17 Dec 2024
https://github.com/fehiepsi/rethinking-numpyro
Statistical Rethinking (2nd ed.) with NumPyro
bayesian-statistics causal-inference laplace-approximation markov-chain-monte-carlo numpy python variational-inference
Last synced: 04 Jan 2025
https://github.com/malcolmbarrett/ggdag
:arrow_lower_left: :arrow_lower_right: An R package for working with causal directed acyclic graphs (DAGs)
causal-inference dag ggplot-extension r rstats
Last synced: 07 Oct 2024
https://github.com/r-causal/ggdag
:arrow_lower_left: :arrow_lower_right: An R package for working with causal directed acyclic graphs (DAGs)
causal-inference dag ggplot-extension r rstats
Last synced: 25 Oct 2024
https://github.com/DataCanvasIO/YLearn
YLearn, a pun of "learn why", is a python package for causal inference
causal-discovery causal-inference causal-models causality causality-algorithms causality-analysis policy-learning uplift uplift-modeling
Last synced: 17 Dec 2024
https://github.com/Minyus/causallift
CausalLift: Python package for causality-based Uplift Modeling in real-world business
causal-impact causal-inference causality counterfactual econometrics propensity-score propensity-scores uplift uplift-modeling
Last synced: 29 Oct 2024
https://github.com/zalando/expan
Open-source Python library for statistical analysis of randomised control trials (A/B tests)
ab-testing abtest abtesting causal-inference experimentation python statistical-analysis statistics
Last synced: 12 Nov 2024
https://github.com/autonlab/auton-survival
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
causal-inference counterfactual-inference data-science deep-learning graphical-models machine-learning python regression reliability-analysis survival-analysis time-to-event
Last synced: 12 Nov 2024
https://github.com/msuzen/looper
A resource list for causality in statistics, data science and physics
bayesian-inference causal causal-discovery causal-impact causal-inference causal-machine-learning causal-models causal-networks causality causality-algorithms causality-analysis causation data-science machine-learning meta-learning physics statistical-inference statistical-mechanics statistical-physics statistics
Last synced: 12 Nov 2024
https://github.com/mschauer/causalinference.jl
Causal inference, graphical models and structure learning in Julia
causal-inference hacktoberfest julia
Last synced: 08 Jan 2025
https://github.com/mschauer/CausalInference.jl
Causal inference, graphical models and structure learning in Julia
causal-inference hacktoberfest julia
Last synced: 13 Nov 2024
https://github.com/declare-lab/reccon
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
bert-model causal-inference causal-models causal-spans causality conversations dataset dialogue-generation dialogue-systems emotion emotion-cause emotion-cause-pair-extraction emotion-recognition emotion-recognition-in-conversation emotion-tasks inference natural-language-inference reasoning roberta
Last synced: 19 Dec 2024
https://github.com/OscarEngelbrektson/SyntheticControlMethods
A Python package for causal inference using Synthetic Controls
causal-inference causal-models causality causality-analysis counterfactual econometrics package policy-evaluation program-evaluation python synthetic-control
Last synced: 13 Nov 2024
https://causal-machine-learning.github.io/kdd2021-tutorial/
EconML/CausalML KDD 2021 Tutorial
causal-inference machine-learning
Last synced: 18 Nov 2024
https://github.com/juliadynamics/associations.jl
Algorithms for quantifying associations, independence testing and causal inference from data.
associations causal-graphs causal-inference conditional-mutual-information cross-mapping distance-correlation entropy hacktoberfest independence-testing julia julia-language mutual-information network-inference partial-mutual-information predictive-asymmetry surrogate-data time-series transfer-entropy
Last synced: 04 Jan 2025
https://github.com/JuliaDynamics/CausalityTools.jl
Algorithms for quantifying associations, independence testing and causal inference from data.
associations causal-graphs causal-inference conditional-mutual-information cross-mapping distance-correlation entropy hacktoberfest independence-testing julia julia-language mutual-information network-inference partial-mutual-information predictive-asymmetry surrogate-data time-series transfer-entropy
Last synced: 14 Nov 2024
https://github.com/JuliaDynamics/Associations.jl
Algorithms for quantifying associations, independence testing and causal inference from data.
associations causal-graphs causal-inference conditional-mutual-information cross-mapping distance-correlation entropy hacktoberfest independence-testing julia julia-language mutual-information network-inference partial-mutual-information predictive-asymmetry surrogate-data time-series transfer-entropy
Last synced: 13 Nov 2024
https://github.com/amaiya/causalnlp
CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
Last synced: 08 Jan 2025
https://github.com/uhlerlab/causaldag
Python package for the creation, manipulation, and learning of Causal DAGs
causal-dags causal-inference causal-models causality inference
Last synced: 27 Oct 2024
https://github.com/doubleml/doubleml-for-r
DoubleML - Double Machine Learning in R
causal-inference data-science double-machine-learning econometrics machine-learning mlr3 r statistics
Last synced: 06 Jan 2025
https://github.com/ngreifer/weightit
WeightIt: an R package for propensity score weighting
causal-inference inverse-probability-weights observational-study propensity-scores r
Last synced: 06 Jan 2025
https://github.com/ngreifer/WeightIt
WeightIt: an R package for propensity score weighting
causal-inference inverse-probability-weights observational-study propensity-scores r
Last synced: 11 Nov 2024
https://github.com/sb-ai-lab/hypex
Fast and customizable framework for automatic and quick Causal Inference in Python
ab-testing causal-inference causalinference data-science faiss kaggle matching python statistics
Last synced: 04 Jan 2025
https://github.com/renovamen/pcalg-py
Implement PC algorithm in Python | PC 算法的 Python 实现
bayesian-network causal-inference pc-algorithm
Last synced: 10 Nov 2024
https://github.com/d909b/drnet
💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.
causal-inference deep-learning machine-learning neural-networks
Last synced: 28 Nov 2024
https://github.com/grf-labs/policytree
Policy learning via doubly robust empirical welfare maximization over trees
causal-inference policy-learning
Last synced: 11 Nov 2024
https://github.com/yongduosui/CAL
[KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua.
causal-inference graph-neural-networks out-of-distribution
Last synced: 28 Nov 2024
https://github.com/ngreifer/cobalt
Covariate Balance Tables and Plots - An R package for assessing covariate balance
causal-inference propensity-scores r
Last synced: 07 Jan 2025
https://github.com/rdpackages/rdrobust
Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
causal-inference program-evaluation regression-discontinuity-designs treatment-effects
Last synced: 11 Nov 2024
https://github.com/nredell/shapflex
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
causal-inference causal-networks causality ensemble feature-importance iml interpretable-machine-learning machine-learning package r r-package shap shapley shapley-value shapley-values
Last synced: 07 Nov 2024
https://github.com/neurodata/treeple
Scikit-learn compatible decision trees beyond those offered in scikit-learn
causal-inference causal-machine-learning cython decision-trees estimation machine-learning python random-forest scikit-learn
Last synced: 04 Jan 2025
https://github.com/andrewheiss/evalf22.classes.andrewheiss.com
📊 🌐 🧑🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto
causal-inference program-evaluation quarto r teaching-materials
Last synced: 21 Dec 2024
https://github.com/py-why/dodiscover
[Experimental] Global causal discovery algorithms
causal-inference causality graphs python structure-learning
Last synced: 08 Nov 2024
https://github.com/google/trimmed_match
This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.
abtest causal-inference experimental-design geo-experiments iroas robust-statistics
Last synced: 13 Nov 2024
https://github.com/ck37/varimpact
Variable importance through targeted causal inference, with Alan Hubbard
causal-inference cv-tmle observational-study targeted-learning tmle variable-importance
Last synced: 11 Nov 2024
https://github.com/tlverse/tlverse-handbook
🎯 :closed_book: Targeted Learning in R: A Causal Data Science Handbook
biostatistics causal-data-science causal-inference causal-machine-learning data-science machine-learning statistics targeted-learning tlverse
Last synced: 22 Nov 2024
https://github.com/ericmjl/causality
In which I play with the ideas surrounding causality
bayesian causal-inference causality
Last synced: 14 Oct 2024
https://github.com/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.
causal-inference econometrics machine-learning
Last synced: 08 Jan 2025
https://github.com/y0-causal-inference/y0
❓y0 (pronounced "why not?") is for causal inference in Python
causal-inference structural-causal-model symbolic-math
Last synced: 05 Nov 2024
https://github.com/jrfiedler/causal_inference_julia_code
Julia code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
causal-inference causality data-science julia julialang
Last synced: 12 Oct 2024
https://github.com/amazon-science/azcausal
Causal Inference in Python
causal-inference did panel sdid
Last synced: 09 Jan 2025
https://github.com/juliadiffindiffs/diffindiffs.jl
A suite of Julia packages for difference-in-differences
causal-inference difference-in-differences econometrics economics empirical-research event-studies julia
Last synced: 07 Nov 2024
https://github.com/sdfordham/pysyncon
A python module for the synthetic control method
augsynth causal-inference synth synthetic-control-method
Last synced: 11 Nov 2024
https://gitlab.com/agrumery/aGrUM
aGrUM is a C++ library designed for easily building applications using graphical models such as Bayesian networks, influence diagrams, decision trees, GAI networks or Markov decision processes.
artificial-intelligence bayesian-network causal-inference causal-models causality cpp20 credal-network explainable-ai influence-diagram machine-learning-algorithms markov-network parallel-algorithm probabilistic-classifiers probabilistic-graphical-models probabilistic-models python python3 statistical-learning structural-learning
Last synced: 30 Sep 2024
https://github.com/koriavinash1/bioexp
Explainability of Deep Learning Models
ablation activation-maximization causal-inference causality clustering concept-extraction dissection explainability explainable-ai gradcam interpretability interpretable-ai intervention joint-analysis rct uncertainty
Last synced: 02 Nov 2024
https://github.com/callmespring/CausalRL
Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)
a-b-testing causal-inference reinforcement-learning
Last synced: 11 Nov 2024
https://github.com/kaz-yos/regmedint
R implementation of effect measure modification-extended regression-based closed-formula causal mediation analysis
causal-inference mediation-analysis
Last synced: 12 Nov 2024
https://github.com/andrewheiss/evalsp23.classes.andrewheiss.com
📊 🌐 🧑🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto
causal-inference program-evaluation quarto r teaching-materials
Last synced: 21 Dec 2024
https://github.com/andrewheiss/evalsp20.classes.andrewheiss.com
🎓 GSU MPA/MPP course on program evaluation and causal inference
academic blogdown causal-inference course r
Last synced: 21 Dec 2024
https://github.com/jd-opensource/utboost
A powerful tree-based uplift modeling system.
causal-inference descision-tree gbm gradient-boosting uplift-modeling
Last synced: 07 Nov 2024
https://github.com/krassowski/jupyterlab-dagitty
JupyterLab renderer of dagitty causal diagrams
causal-inference causal-models directed-acyclic-graph ipython-display irkernel jupyterlab-extension
Last synced: 15 Nov 2024
https://github.com/csinva/matching-with-gans
Matching in GAN latent space for better bias benchmarking and semantic image editing. 👶🏻🧒🏾👩🏼🦰👱🏽♂️👴🏾
ai bias causal-inference computer-vision deep-learning disentanglement facial-recognition fairness gan ml neural-network python3 pytorch stylegan2
Last synced: 23 Oct 2024
https://github.com/benkeser/drtmle
Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
causal-inference ensemble-learning iptw statistical-inference tmle
Last synced: 16 Dec 2024
https://github.com/lingfeiwang/normalisr
Causal inference, differential expression, and co-expression for scRNA-seq
association-testing causal-inference co-expression differential-expression gene-regulatory-network hypothesis-testing normalization scrna-seq single-cell single-cell-crispr-screening
Last synced: 16 Nov 2024
https://github.com/targene/tmle.jl
A pure Julia implementation of the Targeted Minimum Loss-based Estimation
causal-inference double-robust julia machine-learning non-parametric-statistics statistics targeted-learning tmle
Last synced: 12 Oct 2024
https://github.com/s0kil/nimcoz
Nim Wrapper For Coz Profiler
causal-inference nim optimization performance-analysis performance-engineering profiler
Last synced: 26 Nov 2024
https://github.com/nhejazi/haldensify
:package: R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
causal-inference conditional-density-estimates density-estimation highly-adaptive-lasso inverse-probability-weights machine-learning nonparametric-regression propensity-score
Last synced: 16 Dec 2024
https://github.com/rguo12/CIKM18-LCVA
Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
causal-inference network-embedding treatment-effects variational-autoencoder variational-inference
Last synced: 03 Nov 2024
https://github.com/cran-task-views/causalinference
CRAN Task View: Causal Inference
causal-inference cran instrumental-variables r randomized-controlled-trials rstats structural-equation-models treatment-effects
Last synced: 27 Nov 2024
https://github.com/nhejazi/txshift
:package: :game_die: R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling
causal-effects causal-inference censored-data machine-learning robust-statistics statistics stochastic-interventions stochastic-treatment-regimes targeted-learning treatment-effects variable-importance
Last synced: 16 Dec 2024
https://github.com/idsia/credici
Credici: Credal Inference for Causal Inference
causal-inference causal-models causality credal imprecise-probability probabilistic-graphical-models
Last synced: 11 Nov 2024
https://github.com/donydchen/causal_emotion
☯︎[ACMMM'22] Official PyTorch Implementation of Towards Unbiased Visual Emotion Recognition via Causal Intervention
acmmm2022 causal-inference causality confounding emotion-recognition facial-expression-recognition pytorch
Last synced: 09 Nov 2024
https://github.com/qyu-ai/reina
PySpark-based causal inference package.
big-data causal-inference machine-learning spark
Last synced: 02 Nov 2024
https://github.com/IyarLin/simMixedDAG
The simMixedDAG package enables simulation of "real life" datasets from DAGs
causal-inference causality dag r r-package simulation
Last synced: 25 Oct 2024
https://github.com/doubleml/doubleml-serverless
DoubleML-Serverless - Distributed Double Machine Learning with a Serverless Architecture
aws-lambda causal-inference data-science double-machine-learning econometrics machine-learning python scikit-learn serverless statistics
Last synced: 17 Nov 2024
https://github.com/nhejazi/medoutcon
:package: R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
causal-inference causal-machine-learning inverse-probability-weights machine-learning mediation-analysis r r-package stochastic-interventions targeted-learning treatment-effects
Last synced: 16 Dec 2024
https://github.com/andrewheiss/closing-backdoors-dags
Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data
causal-inference dags do-calculus inverse-probability-weights matching
Last synced: 21 Dec 2024
https://github.com/egap/theory_and_practice_of_field_experiments
'Caramba y zamba la cosa, que vivan los experimentos!' -from 'Me Gustan Los Estudiantes' by Violeta Parra
causal-inference egap evidence-based-policy experiments field-experiments measurement research-design statisics
Last synced: 11 Nov 2024
https://github.com/svmiller/post8000
POST 8000 (Foundations of Social Science Research for Public Policy) is a class I teach at Clemson University
causal-inference policy-analysis policy-audience regression statistics
Last synced: 09 Dec 2024
https://github.com/andrewheiss/evalsp24.classes.andrewheiss.com
📊 🌐 🧑🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto
causal-inference program-evaluation quarto r teaching-materials
Last synced: 21 Dec 2024
https://github.com/benlansdell/rdd
python code and jupyter notebooks to reproduce figures from our PLOS Computational Biology paper
causal-inference computational-neuroscience economics leaky-integrate-and-fire-model neural-network
Last synced: 29 Nov 2024