Nth-iteration-labs / contextualLinks
Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
☆81Updated 5 years ago
Alternatives and similar repositories for contextual
Users that are interested in contextual are comparing it to the libraries listed below
Sorting:
- R package for Multi-Armed Bandit Simulation Study☆38Updated 8 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆120Updated 4 years ago
- Code for Shopper, a probabilistic model of shopping baskets☆53Updated 5 years ago
- ☆93Updated last year
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated last year
- DEPRECATED. See new generalized random forest package for up-to-date implementation.☆54Updated 8 years ago
- Causal Inference using Bayesian Additive Regression Trees☆84Updated 5 months ago
- Implementing MCMC sampling from scratch in R for various Bayesian models☆111Updated 2 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆86Updated 5 months ago
- ☆34Updated 3 years ago
- ☆44Updated 4 years ago
- ☆96Updated last year
- R-Package for estimating CLV☆60Updated last month
- Heterogeneous Treatment Effects☆17Updated 3 years ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Updated 8 years ago
- An R-Java Bayesian Additive Regression Trees implementation☆63Updated last year
- ☆17Updated 4 years ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆68Updated 5 years ago
- Simulating Longitudinal and Network Data with Causal Inference Applications☆70Updated last year
- Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.☆180Updated 10 months ago
- Approximately balanced estimation of average treatment effects in high dimensions.☆35Updated 4 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆43Updated last year
- Source files for the book "Bayesian Workflow Using Stan"☆97Updated 4 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆27Updated 2 years ago
- ☆96Updated 8 years ago
- Drawing graphical models for causal inference using LaTeX☆119Updated 2 years ago
- Adaptive and automatic gradient boosting computations.☆70Updated 3 years ago
- Stan models for state space time series☆146Updated 8 years ago
- Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1☆16Updated 5 years ago
- The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)☆47Updated 6 years ago