Software
R packages
Open-source implementations of my methodological work. Bug reports and pull requests welcome.
PFCI
An R package implementing Penalized Fast Causal Inference (PFCI), which incorporates sparsity constraints into the FCI algorithm to efficiently learn causal structure in large-scale, high-dimensional biomarker datasets under hidden confounding — developed for biomarker discovery in Parkinson's disease.
ivgls
An R package for network-aware instrumental variable regression, enabling causal node discovery and effect estimation in graph-structured data with graph-constrained regularization under latent confounding.
eGene
An R package for discovering candidate genes regulated by GWAS signals in both cis and trans, using adaptive statistical metrics that jointly capture strong, sparse cis-eQTL effects and weak, dense trans-eQTL effects.
sparseProj
An R package implementing the sparse projection-posterior methodology for high-dimensional Bayesian linear and grouped regression — projecting an unconstrained Gaussian posterior onto a sparse parameter space for fast, theoretically-grounded variable selection and estimation.
credInt
An R package for constructing valid credible intervals and credible ellipsoids for post-selection projection posteriors, addressing the coverage gap that arises when uncertainty quantification does not account for the selection step.
More packages, including a general implementation of ProjectionTL, are in development.