Other packages > Find by keyword >

sparsepca  

Sparse Principal Component Analysis (SPCA)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sparsepca", "0.1.2")



Attach the package and use:
library("sparsepca")
Maintained by
N. Benjamin Erichson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-11
Latest Update: 2018-04-11
Description:
Sparse principal component analysis (SPCA) attempts to find sparse weight vectors (loadings), i.e., a weight vector with only a few 'active' (nonzero) values. This approach provides better interpretability for the principal components in high-dimensional data settings. This is, because the principal components are formed as a linear combination of only a few of the original variables. This package provides efficient routines to compute SPCA. Specifically, a variable projection solver is used to compute the sparse solution. In addition, a fast randomized accelerated SPCA routine and a robust SPCA routine is provided. Robust SPCA allows to capture grossly corrupted entries in the data. The methods are discussed in detail by N. Benjamin Erichson et al. (2018) <doi:10.48550/arXiv.1804.00341>.
How to cite:
N. Benjamin Erichson (2018). sparsepca: Sparse Principal Component Analysis (SPCA). R package version 0.1.2, https://cran.r-project.org/web/packages/sparsepca. Accessed 05 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited sparsepca R package
View sparsepca citation profile
Other R packages that sparsepca depends, imports, suggests or enhances
Complete documentation for sparsepca
Functions, R codes and Examples using the sparsepca R package
Some associated functions: robspca . rspca . spca . 
Some associated R codes: robspca.R . rspca.R . spca.R .  Full sparsepca package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

crossurr  
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency  
msm  
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal d ...
Download / Learn more Package Citations See dependency  
envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
ibb  
R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

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