A collection of data structures and methods for handling volumetric brain imaging data, with a focus on functional magnetic resonance imaging (fMRI). Provides efficient representations for three-dimensional and four-dimensional neuroimaging data through sparse and dense array implementations, memory-mapped file access for large datasets, and spatial transformation capabilities. Implements methods for image resampling, spatial filtering, region of interest analysis, and connected component labeling. General introduction to fMRI analysis can be found in Poldrack et al. (2024, "Handbook of functional MRI data analysis", <ISBN:9781108795760>).
Version: 0.8.1 Depends: R (≥ 4.3.0), Matrix Imports: purrr, assertthat, mmap, Rcpp, RcppParallel, RNifti, dbscan, stringr, methods, colorplane, bigstatsr, RNiftyReg, future.apply, deflist, crayon, ggplot2, magrittr LinkingTo: Rcpp, RcppArmadillo, RcppParallel Suggests: testthat, covr, knitr, roxygen2, rmarkdown, Gmedian, R.utils, spelling Published: 2025-04-10 DOI: 10.32614/CRAN.package.neuroim2 Author: Bradley R Buchsbaum [aut, cre, cph] Maintainer: Bradley R Buchsbaum <brad.buchsbaum at gmail.com> BugReports: https://github.com/bbuchsbaum/neuroim2/issues License: MIT + file LICENSE URL: https://github.com/bbuchsbaum/neuroim2, https://bbuchsbaum.github.io/neuroim2/ NeedsCompilation: yes Language: en-US Materials: NEWS CRAN checks: neuroim2 results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=neuroim2 to link to this page.
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