Package: BayesBrainMap Type: Package Title: Estimate Brain Networks and Connectivity with Population-Derived Priors Version: 0.2.0 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 = "Nohelia", family = "Da Silva", email = "nohelia.dasilva@gmail.com", role = c("ctb")) ) Maintainer: Amanda Mejia Description: Implements Bayesian brain mapping with population-derived priors, including the original model described in Mejia et al. (2020) , the model with spatial priors described in Mejia et al. (2022) , and the model with population-derived priors on functional connectivity described in Mejia et al. (2025) . Population-derived priors are based on templates representing established brain network maps, for example derived from independent component analysis (ICA), parcellations, or other methods.  Model estimation is based on expectation-maximization or variational Bayes algorithms. 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 (>= 0.7.1), fMRIscrub (>= 0.14.5), foreach, Matrix, matrixStats, methods, pesel, SQUAREM, stats, utils Suggests: ciftiTools (>= 0.13.2), excursions, RNifti, oro.nifti, gifti, ggplot2, parallel, doParallel, knitr, rmarkdown, INLA, testthat (>= 3.0.0) Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 URL: https://github.com/mandymejia/BayesBrainMap BugReports: https://github.com/mandymejia/BayesBrainMap/issues Repository: https://mandymejia.r-universe.dev Date/Publication: 2026-02-06 19:22:47 UTC RemoteUrl: https://github.com/mandymejia/bayesbrainmap RemoteRef: HEAD RemoteSha: 343e939bfa5bb91d3062993fffaccaf35050211b NeedsCompilation: no Packaged: 2026-06-06 06:49:17 UTC; root Author: Amanda Mejia [aut, cre], Damon Pham [aut] (ORCID: ), Nohelia Da Silva [ctb]