LeihuaYe / Causal-Inference-Using-Quasi-Experimental-MethodsLinks
Causal Inference Using Quasi-Experimental Methods
☆20Updated 4 years ago
Alternatives and similar repositories for Causal-Inference-Using-Quasi-Experimental-Methods
Users that are interested in Causal-Inference-Using-Quasi-Experimental-Methods are comparing it to the libraries listed below
Sorting:
- causaleffect: R package for identifying causal effects.☆34Updated 2 years ago
- Code for blog posts.☆20Updated last year
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆25Updated 2 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.☆10Updated 2 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆27Updated 5 years ago
- Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)☆13Updated 2 months ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session☆32Updated 3 years ago
- Notebooks of Python and R code which illustrates basic causal inference using simulated data☆23Updated 6 years ago
- Epidemiology analysis package☆149Updated 2 years ago
- Code for the paper "CAREER: Transfer Learning for Economic Prediction of Labor Sequence Data"☆45Updated last year
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated last month
- This repo aims to share the core algorithms used in the paper, "Global labor flow network reveals the hierarchical organization and dynam…☆29Updated 6 years ago
- Machine learning based causal inference/uplift in Python☆61Updated last year
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆29Updated 4 years ago
- causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.☆35Updated 2 weeks ago
- Linear Models with Python☆22Updated 9 months ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆26Updated 3 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- A package for Safe Anytime Valid Inference☆26Updated 10 months ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated 2 years ago
- Minimax Estimation of Conditional Moment Models☆30Updated 2 years ago
- Unstructured Code with interesting analysis☆37Updated 11 months ago
- Machine Learning models using a Bayesian approach and often PyMC3☆25Updated 4 years ago
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆29Updated 9 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 8 years ago
- Handbook of Graphs and Networks in People Analytics☆120Updated last year
- How to use SHAP values for better cluster analysis☆59Updated 3 years ago
- Hypothesis and statistical testing in Python☆65Updated 5 years ago