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pcaone  

Fast and Accurate Randomized Singular Value Decomposition Algorithms with 'PCAone'
View on CRAN: Click here


Download and install pcaone package within the R console
Install from CRAN:
install.packages("pcaone")

Install from Github:
library("remotes")
install_github("cran/pcaone")

Install by package version:
library("remotes")
install_version("pcaone", "1.1.0")



Attach the package and use:
library("pcaone")
Maintained by
Zilong Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-29
Latest Update: 2024-09-25
Description:
Randomized Singular Value Decomposition (RSVD) methods proposed in the 'PCAone' paper by Li (2022) , where we implement and propose two RSVD methods. One is based on Yu (2017) single pass RSVD but with power iteration scheme. The other is our new window based RSVD.
How to cite:
Zilong Li (2022). pcaone: Fast and Accurate Randomized Singular Value Decomposition Algorithms with 'PCAone'. R package version 1.1.0, https://cran.r-project.org/web/packages/pcaone. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:40), 1.0.0 (2022-10-29 10:57)
Other packages that cited pcaone R package
View pcaone citation profile
Other R packages that pcaone depends, imports, suggests or enhances
Complete documentation for pcaone
Functions, R codes and Examples using the pcaone R package
Some associated functions: pcaone . 
Some associated R codes: RcppExports.R . pcaone-package.R . pcaone.R .  Full pcaone package functions and examples
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