Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression discontinuity designs)
☆19Mar 6, 2024Updated 2 years ago
Alternatives and similar repositories for BCF-IV
Users that are interested in BCF-IV are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The Causal Rule Ensemble Method☆16Oct 20, 2024Updated 2 years ago
- R and python implementations of Accelerated Bayesian Causal Forest.☆24Jun 25, 2024Updated 2 years ago
- Bayesian Causal Forests☆54May 15, 2024Updated 2 years ago
- heterogeneous treatment effect estimation with causal forests☆12May 1, 2023Updated 3 years ago
- ☆49Jan 20, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Datasets for Causal-Structure-Learning Repo☆15Apr 22, 2020Updated 6 years ago
- Simple scVI implementation☆13Oct 19, 2026Updated last week
- ☆11Jul 6, 2021Updated 5 years ago
- python wrapper for crowdtangle☆11Oct 29, 2020Updated 6 years ago
- Causal Mediation analysis☆12Oct 13, 2026Updated 2 weeks ago
- ☆10May 22, 2023Updated 3 years ago
- ☆12Jun 21, 2021Updated 5 years ago
- Causal impact of current events on Wikipedia page views.☆10Dec 2, 2016Updated 9 years ago
- lavaan.shiny: Latent Variable Analysis with Shiny☆11Jun 24, 2016Updated 10 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Two-stage interrupted time series analysis of excess mortality in Italy during the COVID-19 pandemic☆17Feb 13, 2025Updated last year
- ☆16Nov 16, 2020Updated 5 years ago
- ☆12Jul 1, 2021Updated 5 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆89Aug 4, 2026Updated 2 months ago
- ☆22Apr 16, 2024Updated 2 years ago
- Causal Inference using Bayesian Additive Regression Trees☆87Updated this week
- ☆33Feb 18, 2026Updated 8 months ago
- Code for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)☆14Jan 5, 2022Updated 4 years ago
- Find your best flight from Sky Scanner API☆16Jul 1, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- This repo contains data visualizations for #TidyTuesday.☆13Mar 10, 2024Updated 2 years ago
- lmw: Linear Model Weights☆11Feb 8, 2024Updated 2 years ago
- MSRSegNet: Multi-Scale Residual Network for Semantic Segmentation☆10Aug 9, 2018Updated 8 years ago
- A Causal Decision Tree algorithm for causality inference with continuous variables☆23Jan 15, 2021Updated 5 years ago
- R code for implementation of the simulation study described in the paper: "Causal inference in survival analysis using longitudinal obse…☆14Oct 1, 2023Updated 3 years ago
- Non-parametrics for Causal Inference☆52Mar 17, 2022Updated 4 years ago
- Bounding causal effects in general (continuous, non-additive) instrumental variable models.☆14Jul 6, 2023Updated 3 years ago
- R package for nonparametric estimation of counterfactual survival functions and survival contrasts from right-censored data with an obser…☆13Jul 7, 2023Updated 3 years ago
- Tutorial_Computational_Causal_Inference_Estimators☆39Oct 29, 2021Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Uplift modeling and causal inference with machine learning algorithms☆11Dec 27, 2022Updated 3 years ago
- Research sources on graph-based anomaly detection☆13Nov 29, 2022Updated 3 years ago
- Clinical data for the TCGA PanCancer Atlas☆22Jul 12, 2019Updated 7 years ago
- R package to implement high-dimensional confounding adjustment using continuous spike and slab priors☆10Jan 13, 2020Updated 6 years ago
- Python implementation of the paper 'Outcome-Adaptive Lasso: Variable Selection for Causal Inference'☆17Jul 17, 2020Updated 6 years ago
- Simulations for predictive model selection in causal inference☆13Jan 16, 2025Updated last year
- Feature selection for deep learning models.☆15Jan 9, 2021Updated 5 years ago