Other packages > Find by keyword >

singR  

Simultaneous Non-Gaussian Component Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("singR", "0.1.3")



Attach the package and use:
library("singR")
Maintained by
Liangkang Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-22
Latest Update: 2025-01-27
Description:
Implementation of SING algorithm to extract joint and individual non-Gaussian components from two datasets. SING uses an objective function that maximizes the skewness and kurtosis of latent components with a penalty to enhance the similarity between subject scores. Unlike other existing methods, SING does not use PCA for dimension reduction, but rather uses non-Gaussianity, which can improve feature extraction. Benjamin B.Risk, Irina Gaynanova (2021) <doi:10.1214/21-AOAS1466>.
How to cite:
Liangkang Wang (2022). singR: Simultaneous Non-Gaussian Component Analysis. R package version 0.1.3, https://cran.r-project.org/web/packages/singR. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.1.0 (2022-08-22 16:40), 0.1.1 (2022-09-12 08:40), 0.1.2 (2024-02-09 01:20)
Other packages that cited singR R package
View singR citation profile
Other R packages that singR depends, imports, suggests or enhances
Complete documentation for singR
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
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  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

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