Software | Dhrubajyoti Ghosh

I develop research software to make methodological work reproducible and usable beyond the original papers.

PFCI

Penalized FCI for sparse causal structure learning.
R package for high-dimensional causal discovery with latent confounding.

• CRAN
• GitHub
• Associated work: Penalized FCI for Causal Structure Learning in a Sparse DAG for Biomarker Discovery in Parkinson’s Disease.

ivgls

Network-aware IV regression with graph-fused lasso.
R package for causal node discovery and instrumental-variable estimation with graph-structured exposures.

• CRAN
• GitHub

LRST

Longitudinal Rank-Sum Test.
R software implementing rank-based procedures for multivariate longitudinal studies, including the core LRST framework and related design procedures.

• GitHub
• Zenodo release

Polyspectra

R package for polyspectra, polyspectral means, and asymptotic variance estimation.

• GitHub profile / repositories

QuadraticPredictionR

R package for quadratic forecasting and higher-order time-series prediction.

• GitHub profile / repositories