Package LINDA details

Lesion Identification with Neighborhood Data Analysis

A neuroimaging toolkit for automatic segmentation of chronic stroke lesions.

Maintainer: Dorian Pustina < dorian.pustina at gmail.com >

 
From within R, enter citation(LINDA)


To cite package 'LINDA' in publications use:

Dorian Pustina and John Muschelli (NA). LINDA: Lesion Identification
with Neighborhood Data Analysis. R package version 0.5.0.

A BibTeX entry for LaTeX users is

@Manual{,
title = {LINDA: Lesion Identification with Neighborhood Data Analysis},
author = {Dorian Pustina and John Muschelli},
note = {R package version 0.5.0},
}

 

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('LINDA', release_repo= 'https://neuroconductor.org/releases/2018/feb')

# Default Install
neuro_install('LINDA')

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

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

More detailed installation instructions can be found here.

 

Initially submitted on November 10 2018 3:12PM
Last updated on November 10 2018 3:12PM
Package type standard
Source GitHub https://github.com/dorianps/LINDA GitHub
Neuroconductor GitHub https://github.com/neuroconductor/LINDA GitHub
DependsR (3.0)
ImportsANTsR, ANTsRCore, randomForest, magrittr, stats, methods
Suggestscovr, knitr, rmarkdown, testthat, devtools