pzivich / DelicatessenLinks
Delicatessen: the Python one-stop sandwich (variance) shop 🥪
☆30Updated last week
Alternatives and similar repositories for Delicatessen
Users that are interested in Delicatessen are comparing it to the libraries listed below
Sorting:
- Repository for Introduction to Bayesian Estimation of Causal Effects☆68Updated 5 years ago
- ☆96Updated last year
- ☆22Updated last year
- Tools in R for computing and using Z-estimator approximate influence functions.☆102Updated last year
- ☆33Updated 3 years ago
- Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…☆47Updated 3 weeks ago
- R package cfcausal☆33Updated 3 years ago
- Bayesian Causal Forests☆52Updated last year
- An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.☆40Updated 3 years ago
- Causal Inference using Bayesian Additive Regression Trees☆84Updated 5 months ago
- Double Machine Learning for Multiple Treatments☆41Updated 5 years ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆60Updated last year
- ☆48Updated 2 years ago
- Suite of sensitivity analysis tools for OLS☆96Updated last year
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆33Updated 10 months ago
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated last year
- Policy learning via doubly robust empirical welfare maximization over trees☆86Updated 5 months ago
- Drawing graphical models for causal inference using LaTeX☆119Updated 2 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 3 months ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆15Updated 3 months ago
- A package for Bayesian causal inference with time-series cross-sectional data☆29Updated last year
- Adaptive debiased machine learning of treatment effects with the highly adaptive lasso☆14Updated 10 months ago
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆39Updated 4 years ago
- ☆56Updated 3 years ago
- ☆30Updated last year
- Packages of Example Data for The Effect☆151Updated last year
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆27Updated last year
- Simulating Longitudinal and Network Data with Causal Inference Applications☆69Updated last year
- ☆44Updated 4 years ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆77Updated 2 months ago