Package: templateICAr Type: Package Title: Estimate Brain Networks and Connectivity with ICA and Empirical Priors Version: 0.10.0 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 = "Daniel", family = "Spencer", email = "danieladamspencer@gmail.com", role = c("ctb"), comment = c(ORCID = "0000-0002-9705-3605")), person(given = "Mary Beth", family = "Nebel", email = "Nebel@kennedykrieger.org", role = c("ctb")) ) Maintainer: Amanda Mejia Description: Implements the template ICA (independent components analysis) model proposed in Mejia et al. (2020) and the spatial template ICA model proposed in proposed in Mejia et al. (2022) . Both models estimate subject-level brain as deviations from known population-level networks, which are estimated using standard ICA algorithms. Both models employ an expectation-maximization algorithm for estimation of the latent brain networks and unknown model parameters. Includes direct support for 'CIFTI', 'GIFTI', and 'NIFTI' neuroimaging file formats. Depends: R (>= 3.6.0) License: GPL-3 Additional_repositories: https://inla.r-inla-download.org/R/testing Encoding: UTF-8 Imports: abind, fMRItools (>= 0.5.3), fMRIscrub (>= 0.14.5), foreach, ica, Matrix, matrixStats, methods, pesel, SQUAREM, stats, utils Suggests: ciftiTools (>= 0.13.2), excursions, RNifti, oro.nifti, gifti, covr, parallel, doParallel, knitr, rmarkdown, INLA, testthat (>= 3.0.0) Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 URL: https://github.com/mandymejia/templateICAr BugReports: https://github.com/mandymejia/templateICAr/issues Repository: https://mandymejia.r-universe.dev Date/Publication: 2025-05-20 19:12:51 UTC RemoteUrl: https://github.com/mandymejia/templateicar RemoteRef: HEAD RemoteSha: d3b501c02b536e2ebe5538e0be1332945affcb96 NeedsCompilation: no Packaged: 2026-07-05 06:12:19 UTC; root Author: Amanda Mejia [aut, cre], Damon Pham [aut] (ORCID: ), Daniel Spencer [ctb] (ORCID: ), Mary Beth Nebel [ctb]