BigDataStatMeth: Tools and Infrastructure for Developing 'Scalable' 'HDF5'-Based Methods

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.

Version:	1.0.2
Depends:	R (≥ 4.1.0)
Imports:	data.table, Rcpp (≥ 1.0.6), RCurl, rhdf5, utils
LinkingTo:	Rcpp, RcppEigen, Rhdf5lib, BH
Suggests:	HDF5Array, Matrix, BiocStyle, knitr, rmarkdown, ggplot2, microbenchmark
Published:	2025-11-29
DOI:	10.32614/CRAN.package.BigDataStatMeth
Author:	Dolors Pelegri-Siso [aut, cre], Juan R. Gonzalez [aut]
Maintainer:	Dolors Pelegri-Siso <dolors.pelegri at isglobal.org>
License:	MIT + file LICENSE
NeedsCompilation:	yes
SystemRequirements:	GNU make, C++17
Materials:	README, NEWS
CRAN checks:	BigDataStatMeth results

Documentation:

Reference manual:	BigDataStatMeth.html , BigDataStatMeth.pdf
Vignettes:	Algebra and Statistical Methods for Big Data witn HDF5 files (source, R code)

Downloads:

Package source:	BigDataStatMeth_1.0.2.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): BigDataStatMeth_1.0.2.tgz, r-oldrel (arm64): BigDataStatMeth_1.0.2.tgz, r-release (x86_64): BigDataStatMeth_1.0.2.tgz, r-oldrel (x86_64): BigDataStatMeth_1.0.2.tgz
Old sources:	BigDataStatMeth archive

Linking:

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