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bootSVD

1.2Package record

Fast, Exact Bootstrap Principal Component Analysis for High Dimensional Data

1packages depend
4.5Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Implements fast, exact bootstrap Principal Component Analysis and Singular Value Decompositions for high dimensional data, as described in doi:10.1080/01621459.2015.1062383 (see also doi:10.48550/arXiv.1405.0922). For data matrices that are too large to operate on in memory, users can input objects with class 'ff' (see the 'ff' package), where the actual data is stored on disk. In response, this package will implement a block matrix algebra procedure for calculating the principal components (PCs) and bootstrap PCs. Depending on options set by the user, the 'parallel' package can be used to parallelize the calculation of the bootstrap PCs.

Install

Health

CRAN checks
13OK
Slowest check: 1.0 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.2
READMEYes · 204 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
17
Examples that run
92%12 run in a plain check · 1 never run
Exported functions with examples
93%
Documented parameters
97%
Return-value docs
100%
Help pages citing references
35%

Downloads

4.5K
CRAN downloads in the past year
Rank #8,891 · ~12/day · ~375/mo
Daily download trend is not available in this view yet.
38030 days
1.1K90 days
4.5K1 year
Compare downloads with other packages →
Also on111 r2u15 autocran595 conda_forge

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing bootSVD adds 2 packages (2 with compiled code, 618 KB of source tarballs). Heaviest: ff 321 KB, bit 297 KB.

Depends (1)
R >= 3.0.2
Imports (2)
ffparallel
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer since 0.1 (2014)
Releases (5)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.2Latest
    record
    2025-06-13 · current release · diff ↗
  • 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
  • R
    R 4.1.0 released · 2021-05-18
  • 1.1
    record
    2021-02-02 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 0.5
    record
    2015-06-02 · diff ↗
  • 0.2
    record
    2015-04-22 · diff ↗ ·
    removed 2 exports
    reindexDsByK, reindexPCsByK
    added 3 exports
    ffmatrixmult, reindexMatricesByK, reindexVectorsByK
  • R
    R 3.2.0 released · 2015-04-16
Show 2 earlier eventsHide 2 earlier events
  • 0.1
    record
    2014-07-21
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2014-07-21
Total releases
5 / 12 yrs
License
GPL-2 OSI
Minimum R
≥ 3.0.2
Bundled data
40 KB / 1 file
Download size
75 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bootSVD")
Fisher, A. (2025). bootSVD: Fast, Exact Bootstrap Principal Component Analysis for High Dimensional Data (Version 1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.bootSVD

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for bootSVD version 1.2 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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