Package: singR
Type: Package
Title: Simultaneous Non-Gaussian Component Analysis
Version: 0.1.2
Date: 2024-02-07
Author: Liangkang Wang [aut, cre] (<https://orcid.org/0000-0003-3393-243X>),
  Irina Gaynanova [aut] (<https://orcid.org/0000-0002-4116-0268>),
  Benjamin Risk [aut] (<https://orcid.org/0000-0003-1090-0777>)
Authors@R: 
  c(person(given="Liangkang",family= "Wang",role = c("aut","cre"),email="liangkang_wang@brown.edu", comment = c(ORCID = "0000-0003-3393-243X")),
  person(given="Irina",family= "Gaynanova", role = "aut",email="irinagn@umich.edu",comment = c(ORCID = "0000-0002-4116-0268")),
  person(given="Benjamin", family="Risk",role = "aut",email="benjamin.risk@emory.edu", comment = c(ORCID = "0000-0003-1090-0777")))
Maintainer: Liangkang Wang <liangkang_wang@brown.edu>
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>.  
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
LinkingTo: Rcpp, RcppArmadillo
Imports: MASS (>= 7.3-57), Rcpp (>= 1.0.8.3), clue (>= 0.3-61), gam (>=
        1.20.1), ICtest (>= 0.3-5)
Suggests: knitr, covr, testthat (>= 3.0.0), rmarkdown
Config/testthat/edition: 3
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-02-08 00:30:17 UTC; lwang151
Repository: CRAN
Date/Publication: 2024-02-09 00:20:02 UTC
Built: R 4.3.2; x86_64-apple-darwin22.6.0; 2024-02-21 20:02:30 UTC; unix
