An R package for causal inference in time series

Code for my book on Multi-Armed Bandit Algorithms

Machine Learning Problem Bible | Problem Set Here >>

Assertive programming for R analysis pipelines

An R Package for the Structural Topic Model

Inside every classical test there is a Bayesian model trying to get out.

🐢 bayesAB: Fast Bayesian Methods for A/B Testing

Supplementary Materials for ``Quantitative Social Science: An Introduction''

Getting Started With R

Amelia: A Package for Missing Data

R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process

Approximately balanced estimation of average treatment effects in high dimensions.

Companion repository to blog posts https://dsnotes.com/post/2017-01-27-lessons-learned-from-outbrain-click-prediction-kaggle-competition/ and https://dsnotes.com/post/2017-02-07-large-data-feature-…

❗ This is a read-only mirror of the CRAN R package repository. uplift — Uplift Modeling

A fast Adaboost implementation for R