pzivich / DelicatessenLinks
Delicatessen: the Python one-stop sandwich (variance) shop π₯ͺ
β28Updated 2 months ago
Alternatives and similar repositories for Delicatessen
Users that are interested in Delicatessen are comparing it to the libraries listed below
Sorting:
- β22Updated last year
- β95Updated last year
- R and python implementations of Accelerated Bayesian Causal Forest.β25Updated last year
- Repository for Introduction to Bayesian Estimation of Causal Effectsβ67Updated 5 years ago
- R package cfcausalβ33Updated 2 years ago
- Tools in R for computing and using Z-estimator approximate influence functions.β100Updated last year
- Bayesian Causal Forestsβ48Updated last year
- A package for Bayesian causal inference with time-series cross-sectional dataβ26Updated last year
- β33Updated 3 years ago
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.β37Updated 3 months ago
- Double Machine Learning for Multiple Treatmentsβ41Updated 4 years ago
- β30Updated last year
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and FernΓ‘ndez-Val, 2020).β70Updated 9 months ago
- Packages of Example Data for The Effectβ149Updated 11 months ago
- β47Updated 2 years ago
- An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.β40Updated 3 years ago
- Inference for synthetic controlsβ39Updated 4 years ago
- Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Treeβ¦β45Updated last year
- Adaptive debiased machine learning of treatment effects with the highly adaptive lassoβ14Updated 8 months ago
- π― Targeted Learning in R: A Causal Data Science Handbookβ60Updated last year
- Policy learning via doubly robust empirical welfare maximization over treesβ84Updated 3 months ago
- Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1β16Updated 5 years ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methodsβ26Updated 11 months ago
- Causal Inference using Bayesian Additive Regression Treesβ84Updated 3 months ago
- Discrete Bayesian Additive Regression Trees Samplerβ59Updated 2 weeks ago
- Suite of sensitivity analysis tools for OLSβ95Updated 11 months ago
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-vaβ¦β30Updated last month
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakrβ52Updated 5 months ago
- β56Updated 3 years ago
- Non-parametric Causal Effects Based on Modified Treatment Policiesβ75Updated 2 weeks ago