An R package for assumption-lean covariance matrix estimation in high dimensions

A toolbox for sparse contrastive principal component analysis

Code for "Guidance on Individualized Treatment Rule Estimation in High Dimensions" by Boileau et al.

ACIC 2023 Presentation: A Nonparametric Framework for Treatment Effect Modifier Discovery in High Dimensions

Code for reproducing results in "A nonparametric framework for treatment effect modifier discovery in high dimensions"

Using simChef R package to recreate the simulation study of "A flexible approach to predictive biomarker discovery" by Boileau et al.

A UC Berkeley-themed LaTeX poster template relying on the tikzposter package.

Heatmaps for Multiple Network Data

Code for "A Flexible Approach for Predictive Biomarker Discovery"

Code for "Cross-Validated Loss-Based Covariance Matrix Estimator Selection in High Dimensions"

Exploring High-Dimensional Biological Data with Sparse Contrastive Principal Component Analysis