FMenchetti / CausalArimaLinks
An R package to estimate the effect of interventions on univariate time series using ARIMA models
☆22Updated last year
Alternatives and similar repositories for CausalArima
Users that are interested in CausalArima are comparing it to the libraries listed below
Sorting:
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- ☆16Updated 3 years ago
- Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms☆25Updated 2 years ago
- ☆16Updated 2 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆25Updated 2 years ago
- Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1☆14Updated 5 years ago
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated last year
- How to use EconML within R☆12Updated 5 years ago
- R package cfcausal☆29Updated 2 years ago
- Tools for causal discovery in R☆19Updated 3 months ago
- ☆42Updated 4 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆51Updated last month
- Implementation of Double Machine Learning☆35Updated 2 months ago
- ☆9Updated 3 years ago
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated 11 months ago
- code and demo for hierarchical stacking paper☆10Updated 4 years ago
- That's weird: Anomaly detection using R☆42Updated 6 months ago
- Tutorials on Stan for Bayesian causal inference☆19Updated last week
- Repository for Introduction to Bayesian Estimation of Causal Effects☆63Updated 4 years ago
- Unstructured Code with interesting analysis☆37Updated 8 months ago
- This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…☆47Updated 3 years ago
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.☆33Updated 4 months ago
- Sensitivity analysis tools for causal ML☆17Updated last week
- Sparse estimation of large time series models☆31Updated last year
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…☆29Updated 3 months ago
- Packages of Example Data for The Effect☆140Updated 7 months ago
- Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)☆13Updated 9 months ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 7 months ago
- Synthetic data using Generative Adversarial Networks☆12Updated last year
- Adaptive debiased machine learning of treatment effects with the highly adaptive lasso☆14Updated 3 months ago