FMenchetti / CausalMBSTS
☆16Updated 3 years ago
Alternatives and similar repositories for CausalMBSTS:
Users that are interested in CausalMBSTS are comparing it to the libraries listed below
- Tutorials on Stan for Bayesian causal inference☆19Updated last year
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆17Updated last week
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 2 months ago
- Inference in instrumental variables models robust to many instruments☆11Updated 3 years ago
- R package cfcausal☆27Updated 2 years ago
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated last year
- Sensitivity analysis tools for causal ML☆14Updated 8 months ago
- ☆16Updated 3 years ago
- ☆27Updated 4 months ago
- Degrees of freedom adjustments for robust standard errors described in Imbens and Kolesár (2016, Review of Economics and Statistics)☆31Updated last month
- lmw: Linear Model Weights☆11Updated last year
- OLS Weights on Heterogeneous Treatment Effects☆10Updated 4 years ago
- IRT ideal point models in R using Stan☆23Updated 5 years ago
- R package experiment☆13Updated 2 years ago
- Adaptive debiased machine learning of treatment effects with the highly adaptive lasso☆14Updated last year
- 📊 🌐 🧑🏫 Website for PhD-level independent readings course on Bayesian statistics with R and Stan, built with Quarto☆40Updated 2 years ago
- ☆17Updated last year
- source code for personal website and blog☆13Updated this week
- tidyverse code for QSS☆37Updated 4 years ago
- ☆20Updated 4 years ago
- Tools for estimating causal effects for multivariate continuous exposures☆13Updated 3 years ago
- Implementation of Double Machine Learning☆35Updated last year
- Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science☆18Updated 2 years ago
- Paper repository for "Double Robust Two-Way Fixed Effect Regression for Panel Data"☆10Updated 11 months ago
- Data Science for Economists and Other Animals☆28Updated 3 years ago
- Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data☆13Updated 4 years ago
- Machine Learning for Economics☆19Updated last year
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆30Updated 3 months ago
- Jackknife Instrumental Variables Estimation☆11Updated last year
- Simulation and power analysis of panel/hierarchical data that allows for independently generating effects by cross-section (between-subje…☆18Updated last year