Other packages > Find by keyword >

rsvd  

Randomized Singular Value Decomposition
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rsvd", "1.0.5")



Attach the package and use:
library("rsvd")
Maintained by
N. Benjamin Erichson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-11-13
Latest Update: 2021-04-16
Description:
Low-rank matrix decompositions are fundamental tools and widely used for data analysis, dimension reduction, and data compression. Classically, highly accurate deterministic matrix algorithms are used for this task. However, the emergence of large-scale data has severely challenged our computational ability to analyze big data. The concept of randomness has been demonstrated as an effective strategy to quickly produce approximate answers to familiar problems such as the singular value decomposition (SVD). The rsvd package provides several randomized matrix algorithms such as the randomized singular value decomposition (rsvd), randomized principal component analysis (rpca), randomized robust principal component analysis (rrpca), randomized interpolative decomposition (rid), and the randomized CUR decomposition (rcur). In addition several plot functions are provided.
How to cite:
N. Benjamin Erichson (2015). rsvd: Randomized Singular Value Decomposition. R package version 1.0.5, https://cran.r-project.org/web/packages/rsvd. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:53), 0.3 (2015-11-13 14:41), 0.6 (2016-07-29 06:41), 0.9 (2017-12-08 19:54), 1.0.0 (2018-11-06 07:00), 1.0.1 (2019-06-02 22:52), 1.0.2 (2019-07-29 06:10), 1.0.3 (2020-02-17 23:10)
Other packages that cited rsvd R package
View rsvd citation profile
Other R packages that rsvd depends, imports, suggests or enhances
Complete documentation for rsvd
Functions, R codes and Examples using the rsvd R package
Some associated functions: digits . ggbiplot . ggcorplot . ggindplot . ggscreeplot . plot.rpca . rcur . rid . rpca . rqb . rrpca . rsvd . tiger . 
Some associated R codes: digits.R . ggbiplot.R . ggcorplot.R . ggindplot.R . ggscreeplot.R . plots.R . rcur.R . rid.R . rpca.R . rqb.R . rrpca.R . rsvd.R . tiger.R . wrapper_function.R .  Full rsvd package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
gscaLCA  
Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structu ...
Download / Learn more Package Citations See dependency  
PermAlgo  
Permutational Algorithm to Simulate Survival Data
This version of the permutational algorithm generates a dataset in which event and censoring times ...
Download / Learn more Package Citations See dependency  
footBayes  
Fitting Bayesian and MLE Football Models
This is the first package allowing for the estimation, visualization and prediction of the most wel ...
Download / Learn more Package Citations See dependency  
pulseTD  
Identification of Transcriptional Dynamics using Pulse Models via 4su-Seq Data and RNA-Seq Data
A tool for analyzing the transcription, processing and degradation rates of genes by 4sU-seq (the Me ...
Download / Learn more Package Citations See dependency  
SECFISH  
Disaggregate Variable Costs
These functions were developed within SECFISH project (Strengthening regional cooperation in the are ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA