Package mimosa details

'MIMoSA': A Method for Inter-Modal Segmentation Analysis

Trains and makes predictions from the 'MIMoSA' method.

Maintainer: Alessandra Valcarcel < alval at pennmedicine.upenn.edu >

From within R, enter citation(mimosa)

To cite package 'mimosa' in publications use:

Alessandra Valcarcel (2017). mimosa: 'MIMoSA': A Method for
Inter-Modal Segmentation Analysis. R package version 0.5.6.
https://github.com/avalcarcel9/mimosa

A BibTeX entry for LaTeX users is

@Manual{,
title = {mimosa: 'MIMoSA': A Method for Inter-Modal Segmentation Analysis},
author = {Alessandra Valcarcel},
year = {2017},
note = {R package version 0.5.6},
url = {https://github.com/avalcarcel9/mimosa},
}

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

# Default Install
neuro_install('mimosa')

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

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

More detailed installation instructions can be found here.