Package: templateICAr
Type: Package
Title: Estimate Brain Networks Using Empirical Population Priors
Version: 0.3.1
Authors@R: c(
    person(given = "Amanda",
           family = "Mejia",
           email = "mandy.mejia@gmail.com",
           role = c("aut", "cre")),
    person(given = "Damon",
           family = "Pham",
           email = "damondpham@gmail.com",
           role = c("aut"),
           comment = c(ORCID = "0000-0001-7563-4727")),
    person(given = "Mary Beth",
           family = "Nebel",
           email = "Nebel@kennedykrieger.org",
           role = c("ctb"))
    )
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>
Description: Functions implementing the template ICA model proposed in Mejia et
    al. (2019) <doi:10.1080/01621459.2019.1679638> and the spatial template ICA
    model proposed in proposed in Mejia et al. (2020+). For both models, 
    subject-level brain networks are estimated as deviations from known 
    population-level networks, which can be estimated using standard ICA 
    algorithms. Both models employ an expectation-maximization algorithm 
    for estimation of the latent brain networks and unknown model parameters.
Depends: R (>= 3.6.0)
License: GPL-3
Additional_repositories: https://inla.r-inla-download.org/R/testing
Encoding: UTF-8
Imports: abind, ciftiTools (>= 0.8.0), excursions, fMRIscrub, ica,
        Matrix, matrixStats, methods, pesel, SQUAREM, stats
Suggests: RNifti, covr, doParallel, foreach, knitr, rmarkdown, INLA,
        parallel, testthat (>= 3.0.0)
RoxygenNote: 7.1.2
URL: https://github.com/mandymejia/templateICAr
BugReports: https://github.com/mandymejia/templateICAr/issues
NeedsCompilation: no
Packaged: 2022-03-08 07:02:18 UTC; damon
Author: Amanda Mejia [aut, cre],
  Damon Pham [aut] (<https://orcid.org/0000-0001-7563-4727>),
  Mary Beth Nebel [ctb]
Repository: CRAN
Date/Publication: 2022-03-09 21:10:02 UTC
Built: R 4.0.5; ; 2022-03-10 12:12:35 UTC; unix
