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BigDataStatMeth

2.0.4

Scalable Statistical Computing with HDF5-Backed Matrices

0packages depend
2.3Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Dolors Pelegri-SisoFirst published 2021-12-179 releasesCRAN page ↗

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, and QR decomposition) written in C++ and R, along with building blocks from which higher-level multivariate methods such as canonical correlation analysis can be constructed. 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.

Install

Health

CRAN checks
13OK
Slowest check: 42.8 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
99%
Documentation · exports
5
Dependencies · direct
Check history
  • OK2026-07-22
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-07-11
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-05-24
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-05-16
    8 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-15
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-03-13
    10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 1,128 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
13%
Documented parameters
98%
Return-value docs
100%
References docs
8%

Downloads

2.3K
CRAN downloads in the past year
Rank #9,683 · ~6/day · ~190/mo
Daily download trend is not available in this view yet.
39530 days
1.1K90 days
2.3K1 year
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Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
Imports (5)
Suggests (6)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

9 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 2.0.4Latest
    2026-07-19 · current release · diff ↗
  • 2.0.3
    2026-07-06 · diff ↗
  • 2.0.2
    2026-06-08 · diff ↗
  • 2.0.1
    2026-05-18 · diff ↗
  • 2.0.0
    2026-05-14 · diff ↗
  • unarchivedReturned to CRAN
    2026-05-14
  • R
    R 4.6.0 released · 2026-04-24
  • archivedRemoved from CRAN
    2026-03-28
    issues were not corrected in time
  • 1.0.3
    2025-12-22 · diff ↗
  • 1.0.2
    2025-11-29 · diff ↗
  • unarchivedReturned to CRAN
    2025-11-29
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • archivedRemoved from CRAN
    2022-04-19
    policy violation Using many threads, using far too much total CPU time
Show 5 earlier events
  • 0.99.32
    2022-03-30 · diff ↗
  • unarchivedReturned to CRAN
    2022-03-29
  • archivedRemoved from CRAN
    2022-01-06
    check issues were not corrected in time
  • 0.99.14
    2021-12-17
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-12-17
Total releases
9 / 5 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Bundled data
167 KB / 3 files
Download size
1.1 MB
Installed size
not tracked yet
With dependencies
not tracked yet
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