Package sublime details

Automatic Lesion Incidence Estimation and Detection using Multi-Modality Longitudinal Magnetic Resonance Images

Creates probability maps of incident and enlarging lesion voxels from a baseline and followup magnetic resonance imaging study in patients with multiple sclerosis.

Maintainer: Elizabeth M. Sweeney < elizabethmargaretsweeney at gmail.com >

From within R, enter citation(sublime)

Sweeney E, Shinohara R, Shea C, Reich D, Crainiceanu C (2013).
"Automatic lesion incidence estimation and detection in multiple
sclerosis using multisequence longitudinal MRI." _American Journal of
Neuroradiology_, *34*(1), 68-73. R package version 1.3.

A BibTeX entry for LaTeX users is

@Article{sweeney2013automatic,
title = {Automatic lesion incidence estimation and detection in multiple sclerosis using multisequence longitudinal MRI},
author = {EM Sweeney and RT Shinohara and CD Shea and DS Reich and CM Crainiceanu},
journal = {American Journal of Neuroradiology},
volume = {34},
number = {1},
pages = {68--73},
year = {2013},
publisher = {Am Soc Neuroradiology},
note = {R package version 1.3},
}

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")

# use release_versions() to find previous releases
neuro_install('sublime', release_repo= 'https://neuroconductor.org/releases/2018/feb')

# Default Install
neuro_install('sublime')

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

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

More detailed installation instructions can be found here.