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")

# 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.

 

Initially submitted on May 13 2019 12:45PM
Last updated on May 13 2019 12:45PM
Package type standard
Source GitHub https://github.com/avalcarcel9/mimosa GitHub
Neuroconductor GitHub https://github.com/neuroconductor/mimosa GitHub
ImportsANTsRCore (0.6.0.0), rlist (0.4.5), extrantsr (2.0.0.0000), fslr (2.12.0), neurobase (1.13.2), parallel (2.14.0), oasis (2.1), utils (3.2.5), dplyr, stats, WhiteStripe (2.2.2)
Suggeststestthat, covr, knitr, rmarkdown