lorismichel / drf
Distributional Random Forests (Cevid et al., 2020)
☆39Updated last year
Alternatives and similar repositories for drf:
Users that are interested in drf are comparing it to the libraries listed below
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆49Updated 2 months ago
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated 7 months ago
- Bayesian Causal Forests☆41Updated 9 months ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆59Updated 4 years ago
- Dimension Reduction Methods for Multivariate Time Series☆57Updated 4 months ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆19Updated 9 months ago
- Causal Inference using Bayesian Additive Regression Trees☆79Updated 4 months ago
- Bayesian Generalized Linear Models with Time-Varying Coefficients☆44Updated 5 months ago
- Confidence sequences and uniform boundaries☆61Updated 3 months ago
- ☆42Updated 3 years ago
- A python package for hierarchical forecasting, inspired by hts package in R.☆28Updated 11 months ago
- That's weird: Anomaly detection using R☆42Updated 2 months ago
- ☆93Updated last year
- Forecast Reconciliation - Classical (bottom-up), optimal and heuristic combination forecast reconciliation procedures for cross-sectional…☆33Updated last month
- Random Forests for Conditional Density Estimation☆41Updated 3 years ago
- Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1☆14Updated 4 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆78Updated 8 months ago
- ☆90Updated 2 months ago
- R package cfcausal☆27Updated 2 years ago
- Tools for conformal inference in regression☆233Updated 5 months ago
- ☆8Updated 3 years ago
- ☆62Updated this week
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆21Updated last week
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 4 years ago
- Article by Dokumentov & Hyndman on Seasonal Trend decomposition using Regression☆17Updated 3 years ago
- Sensitivity analysis tools for causal ML☆14Updated 8 months ago
- R package to compute distribution-free prediction bands using density estimators☆9Updated 3 years ago
- Methods and tools for multistep-ahead time series conformal prediction.☆33Updated 3 months ago
- ☆14Updated 8 months ago