# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "PFCI" in publications use:' type: software license: MIT title: 'PFCI: Penalized Fast Causal Inference for High-Dimensional Structure Learning' version: 0.1.1 doi: 10.48550/arXiv.2507.00173 identifiers: - type: doi value: 10.32614/CRAN.package.PFCI abstract: Implements Penalized Fast Causal Inference (PFCI), a two-stage causal structure learning procedure for high-dimensional settings with potential latent variables and selection bias. In the first stage, neighborhood selection via the Lasso constructs a sparse undirected skeleton. In the second stage, the Fast Causal Inference (FCI) algorithm orients edges on this reduced graph, producing a Partial Ancestral Graph (PAG) that accounts for latent confounders. The method is consistent under sparsity assumptions and substantially faster than standard FCI and RFCI in high dimensions. See Pal, Ghosh, and Yang (2025) for the underlying theory. authors: - family-names: Pal given-names: Samhita email: spal4@ncsu.edu orcid: https://orcid.org/0009-0001-4930-916X - family-names: Ghosh given-names: Dhrubajyoti email: dghosh3@kennesaw.edu orcid: https://orcid.org/0000-0002-3360-3786 - family-names: Yang given-names: Shu email: syang24@ncsu.edu orcid: https://orcid.org/0000-0001-7703-707X preferred-citation: type: article title: Penalized FCI for Causal Structure Learning in a Sparse DAG for Biomarker Discovery in Parkinson's Disease authors: - family-names: Pal given-names: Samhita email: spal4@ncsu.edu orcid: https://orcid.org/0009-0001-4930-916X - family-names: Ghosh given-names: Dhrubajyoti email: dghosh3@kennesaw.edu orcid: https://orcid.org/0000-0002-3360-3786 - family-names: Yang given-names: Shu email: syang24@ncsu.edu orcid: https://orcid.org/0000-0001-7703-707X journal: Annals of Applied Statistics year: '2025' doi: 10.48550/arXiv.2507.00173 notes: Accepted repository: https://djghosh1123.r-universe.dev repository-code: https://github.com/djghosh1123/PFCI commit: 062b2b00775151f448395bb2ed0dde86a76de37d url: https://github.com/djghosh1123/PFCI date-released: '2026-05-28' contact: - family-names: Ghosh given-names: Dhrubajyoti email: dghosh3@kennesaw.edu orcid: https://orcid.org/0000-0002-3360-3786