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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "BigDataStatMeth" in publications use:'
type: software
license: MIT
title: 'BigDataStatMeth: Scalable Statistical Computing with HDF5-Backed Matrices'
version: 2.0.2
doi: 10.32614/CRAN.package.BigDataStatMeth
abstract: A framework for 'scalable' statistical computing on large on-disk matrices
  stored in 'HDF5' files. It provides efficient block-wise implementations of core
  linear-algebra operations (matrix multiplication, SVD, PCA, QR decomposition, and
  canonical correlation analysis) written in C++ and R. These building blocks are
  designed not only for direct use, but also as foundational components for developing
  new statistical methods that must operate on datasets too large to fit in memory.
  The package supports data provided either as 'HDF5' files or standard R objects,
  and is intended for high-dimensional applications such as 'omics' and precision-medicine
  research.
authors:
- family-names: Pelegri-Siso
  given-names: Dolors
  email: dolors.pelegri@isglobal.org
  orcid: https://orcid.org/0000-0002-5993-3003
- family-names: Gonzalez
  given-names: Juan R.
  email: juanr.gonzalez@isglobal.org
  orcid: https://orcid.org/0000-0003-3267-2146
repository: https://isglobal-exposomehub.r-universe.dev
commit: 573b90d39216be76ab5d565d43aae8d820bb15a0
date-released: '2026-06-02'
contact:
- family-names: Pelegri-Siso
  given-names: Dolors
  email: dolors.pelegri@isglobal.org
  orcid: https://orcid.org/0000-0002-5993-3003