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 0.5.8.
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 0.5.8},
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")

# Default Install
neuro_install('mimosa')

# 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.

 

Initially submitted on June 2 2019 5:05PM
Last updated on September 16 2019 12:02AM
Package type standard
Source GitHub https://github.com/avalcarcel9/mimosa GitHub
Neuroconductor GitHub https://github.com/neuroconductor/mimosa GitHub
ImportsANTsRCore (0.3.4), dplyr, extrantsr (3.1), fslr (2.24.1), neurobase (1.27.11), oasis (3.0.1), parallel (2.14.0), rlist (0.4.5), stats, utils (3.2.5), WhiteStripe (2.3.1)
Suggestscovr, knitr, rmarkdown, spelling, testthat