bootSVD
1.2Fast, Exact Bootstrap Principal Component Analysis for High Dimensional Data
Overview
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
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 92%
- Documented parameters
- 97%
- Return-value docs
- 100%
- References docs
- 35%
Downloads
Dependencies
Code & Tests
Datasets
People & History
5 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.2Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.12021-02-02 · diff ↗
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 0.52015-06-02 · diff ↗
- 0.22015-04-22 · diff ↗
- RR 3.2.0 released · 2015-04-16
Show 2 earlier events
- 0.12014-07-21
- RR 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
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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