FMenchetti / CausalArima
An R package to estimate the effect of interventions on univariate time series using ARIMA models
☆17Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for CausalArima
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- ☆17Updated last year
- Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms☆24Updated 2 years ago
- ☆16Updated 3 years ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆15Updated 3 weeks ago
- R package cfcausal☆26Updated last year
- Tools for estimating causal effects for multivariate continuous exposures☆13Updated 2 years ago
- ☆12Updated 4 years ago
- How to use EconML within R☆10Updated 5 years ago
- Implementation of Double Machine Learning☆35Updated last year
- That's weird: Anomaly detection using R☆42Updated this week
- The Tidymodels Extension for Time Series Boosting Models☆56Updated 2 years ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 3 years ago
- Synthetic data using Generative Adversarial Networks☆11Updated last year
- Tutorials on Stan for Bayesian causal inference☆19Updated last year
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆24Updated last year
- Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1☆14Updated 4 years ago
- This package provides functions for computing One-Sided Dynamic Principal Components, a novel multivariate time series dimension reductio…☆7Updated 7 months ago
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated 9 months ago
- Double Machine Learning for Multiple Treatments☆39Updated 3 years ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆23Updated 2 years ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆58Updated 4 years ago
- ☆14Updated 2 years ago
- GluonTS Deep Learning with Modeltime☆39Updated 10 months ago
- Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)☆13Updated last month
- Leontief's Input-Output Model in R☆12Updated 4 months ago
- ☆42Updated 3 years ago
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆44Updated 4 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆17Updated last month
- Sensitivity analysis tools for causal ML☆12Updated 5 months ago