ggbrain: Create Images of Volumetric Brain Data in NIfTI Format Using 'ggplot2' Syntax

A 'ggplot2'-consistent approach to generating 2D displays of volumetric brain imaging data. Display data from multiple NIfTI images using standard 'ggplot2' conventions such scales, limits, and themes to control the appearance of displays. The resulting plots are returned as 'patchwork' objects, inheriting from 'ggplot', allowing for any standard modifications of display aesthetics supported by 'ggplot2'.

Version: 0.8.0
Depends: R (≥ 3.5.0)
Imports: Matrix, RNifti, checkmate, data.table, dplyr, ggplot2, ggnewscale, ggrepel, glue, imager, patchwork, rlang, tibble, tidyr, tidyselect, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2022-11-04
Author: Michael Hallquist ORCID iD [aut, cre]
Maintainer: Michael Hallquist <michael.hallquist at>
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: ggbrain results


Reference manual: ggbrain.pdf
Vignettes: Aesthetic refinement of ggbrain plots
Introduction to ggbrain
Working with annotations and labels in ggbrain


Package source: ggbrain_0.8.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ggbrain_0.8.0.tgz, r-oldrel (arm64): ggbrain_0.8.0.tgz, r-release (x86_64): ggbrain_0.8.0.tgz, r-oldrel (x86_64): ggbrain_0.8.0.tgz


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