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 31 Jan. 2025.
Previous versions and publish date:
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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
pim  
Fit Probabilistic Index Models
Fit a probabilistic index model as described in Thas et al, 2012: ...
Download / Learn more Package Citations See dependency  
GEEmediate  
Mediation Analysis for Generalized Linear Models Using the Difference Method
Causal mediation analysis for a single exposure/treatment and a single mediator, both allowed to be ...
Download / Learn more Package Citations See dependency  
nlpred  
Estimators of Non-Linear Cross-Validated Risks Optimized for Small Samples
Methods for obtaining improved estimates of non-linear cross-validated risks are obtained using targ ...
Download / Learn more Package Citations See dependency  

23,580

R Packages

204,057

Dependencies

63,980

Author Associations

23,581

Publication Badges

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