Package: singR
Type: Package
Title: Simultaneous Non-Gaussian Component Analysis
Version: 0.1.3
Date: 2025-01-27
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: 2026-06-23 06:35:49 UTC; root
Config/pak/sysreqs: make libicu-dev libpng-dev libssl-dev
Repository: https://laowang-123.r-universe.dev
Date/Publication: 2025-01-27 16:39:15 UTC
RemoteUrl: https://github.com/cran/singR
RemoteRef: HEAD
RemoteSha: 923257c201243a1fca2557b35ffbcca42429a132