Package ANTsR details

ANTs in R: Quantification Tools for Biomedical Images

ANTsR interfaces state of the art image processing with R statistical methods. The project grew out of the need, at University of Pennsylvania, to develop large-scale analytics pipelines that track provenance from scanner to scientific study. ANTsR wraps an ANTs and ITK C++ core via Rcpp to access these frameworks from within R and support reproducible analyses. Specialized functionality in ANTsR includes image segmentation and registration along imaging specific variations of principal component and canonical correlation analysis.

Maintainer: Brian B. Avants < stnava at gmail.com >

From within R, enter citation(ANTsR)

To cite package 'ANTsR' in publications use:

Brian B Avants (2019). ANTsR: ANTs in R: Quantification Tools for
Biomedical Images. R package version 0.4.8.

A BibTeX entry for LaTeX users is

@Manual{,
title = {ANTsR: ANTs in R: Quantification Tools for Biomedical Images},
author = {Brian B Avants},
year = {2019},
note = {R package version 0.4.8},
}

If you have any problems with this package you can open a new issue or check the already existing ones here.

To install this package, start R and enter:

source("https://neuroconductor.org/neurocLite.R")

# Default Install
neuro_install('ANTsR')

# From the Binary Repo in NeuroC
neuro_install('ANTsR', release = "stable", release_repo = binary_release_repo(release = "stable"))
neuro_install('ANTsR', release = "current", release_repo = binary_release_repo(release = "current"))

# from GitHub
neuro_install('ANTsR', release = "stable", release_repo = "github")
neuro_install('ANTsR', release = "current", release_repo = "github")

More detailed installation instructions can be found here.